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PUBLICATIONS/SOFTWARE

Book and Paper Citation Report (Google Scholar)

 

Software Download

User Guide, Predictive Monitoring Analytics Toolbox Request a Copy   ,

User  Guide, Soft Sensor Analytics Toolbox Request a Copy

Control performance assessment toolbox, MPC performance assessment toolbox, Closed-loop Identification

Solid Oxide Fuel Cells Models/Simulink Models

 

Book 4 Homepage

Biao Huang, Yutong Qi, and AKM Monjur Murshed, Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: First Principle and Data-based Approaches, ISBN: 978-0-470-97391-2, John Wiley & Sons, 2013

Table of Content

Available from Wiley, Amazon.com, Amazon.ca, Ebook from Wiley

Book Homepage

 

Book 3 Homepage

Huang, B. and R. Kadali, Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach, Springer Verlag, ISBN: 978-1-84800-232-6, 2008.

Book  Homepage

 

Book 2 Homepage

Mohieddine Jeali and Biao Huang (Eds), Detection and diagnosis of stiction in control loops: State of the art and advanced methods, Springer Verlag, book, ISBN: 978-1-84882-774-5, 2010.

Book  Homepage

 

Book 1 Homepage

Huang, B. and S.L. Shah, Performance Assessment of Control Loops: Theory and Applications, Book, Springer Verlag, ISBN: 1-85233-639-4, 1999.

 

Books

  • Biao Huang, Yutong Qi, and AKM Monjur Murshed, Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: First Principle and Data-based Approaches, ISBN: 978-0-470-97391-2, John Wiley & Sons, 2013.
  • Huang, B. and R. Kadali, Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach, Book, Springer Verlag, ISBN: 978-1-84800-232-6, 2008.
  • Mohieddine Jeali and Biao Huang (Eds), Detection and diagnosis of stiction in control loops: State of the art and advanced methods, Springer Verlag, 2010, ISBN: 978-1-84882-774-5.
  • Huang, B. and S.L. Shah, Performance Assessment of Control Loops: Theory and Applications, Book, Springer Verlag, 1999, ISBN: 1-85233-639-4.

 

Book chapters

  • Mo, Z., B. Huang, K. Nandakumar, Dynamic modelling and parameter identifiability analysis for SOFC button cell, book chapter in “Progress in Fuel Cell Research”, Editor Petr V. Alemo, Nova Science Publishers, Chapter 6, 269-301, 2007, ISBN: 1-60021-698-6.
  • Ahmed, S., B. Huang, S.L. Shah, Process Parameter and Delay Estimation from Non-uniformly Sampled Data, book chapter in “Identification of Continuous-time Models from Sampled Data”, Editors: H. Garnier and L. Wang, Springer Verlag, 2008, ISBN: 978-1-84800-160-2.

Refereed journal publications, published or accepted

·       Y. Yan, J. Bao*, B. Huang, On Approximation of System Behavior from Large Noisy Data Using Statistical Properties of Measurement Noise, IEEE Transactions on Automatic Control, accepted Aug. 2023.

·       W. Sun, W. Xiong*, B. Huang, A Novel CVAE-based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications, IEEE Transactions on Industrial Informatics, accepted July 2023.

·       Y. Yan, J. Bao*, B. Huang, Distributed Data-driven Predictive Control via Dissipative Behavior

·       Synthesis, IEEE Transactions on Automatic Control, Full Paper, accepted July 12, 2023.

·       Z. Pan, S. Zhao, F. Liu, B. Huang*, Confidence Set-Membership FIR Filter for Discrete Time-Variant Systems, Automatica, Full Paper, accepted June 2023.

·       A. Memarian, S. Damarla, B. Huang*, Control Valve Stiction Detection using Markov Transition Field and Deep Convolutional Neural Network, Canadian Journal of Chemical Engineering, accepted June 2023.

·       H. Chen, H. Luo, B. Huang*, B. Jiang, O. Kaynak, Transfer Learning-motivated Intelligent Fault  Diagnosis Designs: A Survey, Insights, and Perspectives, IEEE Transactions on Neural Networks and Learning Systems, accepted June 2023.

·       V. K. Puli, R. Chiplunkar, B. Huang*, Sparse Robust Dynamic Feature Extraction using Bayesian Inference, IEEE Transactions on Industrial Electronics, accepted June 2023.

·       H. Chen, B. Huang*, Fault-tolerant Soft Sensors for Dynamic Systems, IEEE Transactions on Control Systems Technology, accepted June 2023.

·       R. Chi, X. Guo, N. Lin, B. Huang, Dynamic Linearization and Extended State Observer based Data-driven Adaptive Control, IEEE Transactions on Systems, Man, and Cybernetics: Systems, accepted June 2023.

·       Z. Huang, J. Liu*, B. Huang, Generalized Robust MPC with Zone Tracking, Chemical Engineering Research and Design, accepted June 2023. Vol 195, Pages 537-550, July 2023.

·       Q. Liu*, B. Huang, Y. Chai, W. LI, Topology identification of sparse network: A stochastic variational

·       Bayesian approach, Automatica, accepted May 2023.

·       H. Chen, Z. Liu, B. Huang*, Data-driven Fault Detection for Lipschitz Nonlinear Systems: From Open to Closed-loop Systems, Automatica, accepted May 2023.

·       H. Chen, H. Luo, B. Huang*, B. Jiang, O. Kaynak, Data-driven Designs of Observers and Controllers via Solving Model Matching Problems, Automatica, full-paper accepted May 2023.

·       R. Chiplunkar, B. Huang*, Modeling and Bayesian Inference for Processes Characterized by Abrupt Variations, Journal of Process Control, accepted May 2023.

·       O. Dogru, R. Chiplunkar, B. Huang*, Skew Filtering for Online State Estimation and Control, IEEE Transactions on Industrial Informatics, accepted May 2023.

·       N. Lin, R. Chi*, Y. Liu, Z. Hou, B. Huang, Data-driven Set-point Tuning of Model-free Adaptive Control, International Journal of Robust and Nonlinear Control, accepted May 2023.

·       A. Memarian, S. K. Varanasi, B. Huang*, Smart optimization with PPCR modeling in the presence of missing data, time delay and model-plant mismatch, Chemometrics and Intelligent Laboratory Systems, accepted Mar. 2023. A

·       P. Song, C. Zhao*, B. Huang, J. Ding, Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes, IEEE Transactions on Neural Networks and Learning Systems, accepted March 2023.

·       Z. Huang, J. Liu*, B. Huang, Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework, International Journal of Adaptive Control and Signal Processing, accepted March 2023.

·       J. Xie, B. Huang*, Reinforcement Learning for Soft Sensor Design through Autonomous Cross-Domain Data Selection, Computers and Chemical Engineering, accepted March 2023.

·       S. Damarla, X. Sun, F. Xu, A. Shah, B. Huang*, Statistical tests based practical methods for detection and quantification of stiction in control valves, Industrial & Engineering Chemistry Research, accepted Feb. 2023.

·       N. Lin, Li H, Chi R*, Hou Z, Huang B. Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023 Feb 14. Early Access.

·       Q. Li, A. Tulsyn, Z. Zhao*, B. Huang, F. Liu, Robust particle filter for state estimation in presence of bounded but uncertain parameters based on  ellipsoidal set membership approach, Journal of Process Control, Volume 123, March 2023, Pages 96-107.

·       V. K. Puli and B. Huang*, Variational Bayesian approach to non-stationary and oscillatory slow feature analysis with applications in soft sensing and process monitoring, IEEE Transactions on Control Systems Technology, accepted Jan. 2023.

·       P. Song, C. Zhao*, B. Huang, MPGE and RootRank: A Sufficient Root Cause Characterization and Quantification Framework for Industrial Process Faults, Neural Networks, Accepted January 2023.

·       W. Yu, C. Zhao, B. Huang*, M. Wu, A Robust Dissimilarity Distribution Analytics with Laplace Distribution for Incipient Fault Detection, IEEE Transactions on Industrial Electronics, accepted Jan. 2023.

·       W. Yu, C. Zhao, B. Huang, M. Wu*, Geometrical Analysis of Consecutive Dynamic Behaviors in Process Monitoring, Journal of Process Control, accepted Jan. 2023.

·       N. Lin, R. Chi*, B. Huang, Data-driven Set-point Control for Nonlinear Nonaffine Systems, Information Sciences, Volume 625, May 2023, Pages 237-254.

·       J. Zhang, F. Guo, K. Hao*, B. Huang*, L. Chen, Identification of Errors-In-Variable System with Heteroscedastic Noise and Partially Known Input Using Variable Bayesian, IEEE Transactions on Industrial Informatics, vol. 19, no. 10, pp. 10014-10023, Oct. 2023, doi: 10.1109/TII.2023.3233978..

·       R. Chi*, H. Li, N. Lin, B. Huang, Data-driven Indirect Iterative Learning Control, IEEE Transactions on Cybernetics, accepted Dec. 2022.

·       R. Wang, K. Hao*, B. Huang, X. Zhu, Adaptive niching particle swarm optimization with local search for multimodal optimization, Applied Soft Computing Journal, accepted Dec. 2022.

·       X. Zhu, S.K. Damarla, K. Hao, B. Huang, H. Chen, Y. Hua, ConvLSTM and Self-Attention aided Canonical Correlation Analysis for Multi-output Soft Sensor Modeling, IEEE Transactions on Instrumentation & Measurement, accepted Nov. 2022.

·       H. Chen, O. Dogru, S. Varanasi, X. Yin, B. Huang*, Distributed Process Monitoring for Multi-Agent Systems Through Cognitive Learning, IEEE Transactions on Cognitive and Developmental Systems, accetped Oct 2022.

·       H. Zhang, R. Chi*, B. Huang, Predictive Compensation based Quantization ILC for Nonlinear Nonaffine Discrete-time Systems, International Journal of Robust and Nonlinear Control, accepted Oct. 2022.

·       K. Raviprakash, A. Ganesh, B. Huang, V. Prasad*, Modeling  temperature dynamics of the SAGD process in an oil reservoir by the discovery of parametric partial differential equations, Canadian Journal of Chemical Engineering, accepted Sept. 2022.

·       P. Song, C. Zhao*, B. Huang, M. Wu, Sparse and Time-varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults, IEEE Transactions on Instrumentation & Measurement, accepted Sept. 2022.

·       Z. Pan, B. Huang, F. Liu*, Moving Horization Estimation for Bounded Noises Based on the Set-membership Approach Journal of Process Control, accepted Aug. 2022.

·       Y. Qin*, C. Yuen, X. Yin, B. Huang, A Transferable Multi-stage Model  with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation, IEEE Transactions on Industrial Informatics, accepted Aug 2022.

·       H. Chen, Z. Liu*, C. Alippi, B. Huang*, D. Liu, Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, accepted Aug. 2022.

·       Y. Salehi, B. Huang*, Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes with Delayed and Integrated Output Measurements, IEEE Transactions on Instrumentation & Measurement, accepted Aug. 2022.

·       C. Manchikatla, Z. Li*, B. Huang, Bypass Control of Heat Exchanger Network under Uncertainty, Canadian Journal of Chemical Engineering, accepted July 2022.

·       X. Yin, Y. Qin, H. Chen, W. Du, J. Liu, B. Huang*, Community detection based process decomposition and distributed monitoring for large-scale processes, AIChE J., accepted June 2022.

·       K. Raviprakash, V. Prasad*, B. Huang, A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations, Computers and Chemical Engineering, Volume 164, August 2022, 107862.

·       W. Yu, M. Wu*, B. Huang, C. Lu, A Generalized Probabilistic Monitoring Model with Both Random and Sequential Data, Automatica, Full Paper, Volume 144, October 2022, 110468.

·       Q. Dai, C. Zhao*, B. Huang, Incremental Variational Bayesian Gaussian Mixture Model with Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring, IEEE Transactions on Cybernetics, accepted May 2022.

·       J. Zhang, F. Guo, K. Hao*, L. Chen, B. Huang*, Identification of Errors-in-variables ARX model with time varying time delay, Journal of Process Control, Volume 115, July 2022, Pages 134-144.

·       A. Khosbayar, J. Valluru, B. Huang*, Adaptive Inference for Bayesian Network Soft-Sensor in the presence of Process and Sensor Drift, The Canadian Journal of Chemical Engineering, Special issue to celebrate the 100th volume of the CJCE, Volume100, Issue9, September 2022, Pages 2119-2134.

·       H. Chen, L. Li, C. Shang, B. Huang*, Fault Detection for Nonlinear Dynamic Systems with Consideration of Modeling Errors: A Data-Driven Approach, IEEE Transactions on Cybernetics, accepted Mar. 25, 2022. (Alliance)

·       O. Dogru, K. Velswamy, F. Ibrahim, Y. Wu, A. Sundaramoorthy, B. Huang*, S. Xu, M. Nixon, N. Bell, Reinforcement Learning Approach to Autonomous PID Tuning, Computers and Chemical Engineering, Volume 161, May 2022, 107760 (IRC and Alliance).

·       P. Song, C. Zhao*, B. Huang, SFNet: A Slow Feature Extraction Network for  Parallel Linear and Nonlinear Dynamic Process Monitoring, Neurocomputing, Volume 488, 1 June 2022, Pages 359-380.

·       A. Daemi, B. Gopaluni, B. Huang*, Process Monitoring using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework, IEEE Transactions on Industrial Informatics, accepted March 2022 (Alliance).

·       R. Chi*, H. Li, D. Shen, Z. Hou, B. Huang, Enhanced P-type Control: Indirect Adaptive Learning from Set-point Updates, IEEE Transactions on Automatic Control, Full Paper, accepted Feb. 2022.

·       S. Zhao*, K. Li, C.K. Ahn, B. Huang, F. Liu, Tuning-Free Bayesian Estimation Algorithms for

·       Faulty Sensor Signals in State-Space, IEEE Transactions on Industrial Electronics, Volume: 70, Issue: 1, January 2023, Page(s): 921 - 929.

·       Y. Hui, R. Chi*, B. Huang, Z. Hou, Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-antagonism Networks, IEEE Transactions on Neural Networks and Learning Systems, accepted Jan. 2022.

·       S. Varanasia, A. Daemi, B. Huang*, G. Slot, P. Majoko, Sparsity constrained wavelet neural networks for robust soft sensor design with application to the industrial KIVCET unit, Computers and Chemical Engineering, Volume 159, March 2022, 107695.

·       X. Yin, B. Huang*, Event-triggered distributed moving horizon state estimation of linear systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, accepted Jan. 2022.

·       Y. Cao*, N. Magbool Jan, B. Huang, Y. Wang, Z. Pan, W. Gui, No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence Based Statistics in Probabilistic Mixture Models, IEEE Transactions on Automation Science and Engineering, accepted Jan. 2022.

·       H. Zhang, R. Chi, Z. Hou, B. Huang, Data-driven Iterative Learning Control Using a Uniform Quantizer with an Encoding-Decoding Mechanism, International Journal of Robust and Nonlinear Control, Volume32, Issue7, 10 May 2022, Pages 4336-4354.

·       A. Sadeghian, N. Magbool Jan, B. Huang, Robust Probabilistic Principal Component Regression with Switching Mixture Gaussian Noise for Soft Sensing, Chemometrics and Intelligent Laboratory Systems, Volume 222, 15 March 2022, 104491.

·       J. Wang, Y. Alipouri, B. Huang*, Multirate Sensor Fusion in the Presence of Irregular Measurements and Time-Varying Time Delays Using Synchronized Neural Extended Kalman Filters, IEEE Transactions on Instrumentation & Measurement, Dec. 2021. vol. 71, pp. 1-9, 2022, Art no. 2500509.

·       S. Damarla, X. Sun, F. Xu, A. Shah, J. Amalraj, B. Huang*, A practical linear regression based method for detection and quantification of stiction in control valves, Industrial & Engineering Chemistry Research, 2022, 61, 1, 502–514, December 16, 2021 (Alliance).

·       C. Jiang, Y. Lu, W Zhong*, B. Huang, D. Tan, W. Song, F. Qian, Deep Bayesian Slow Feature Extraction with Application to Industrial Inferential Modeling, IEEE Transactions on Industrial Informatics, provisionally accepted Nov. 2021.

·       L. Feng, C. Zhao*, B. Huang, Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor, Journal of Process Control, Volume 108, December 2021, Pages 86-97.

·       H. Li, R. Chi*, Z. Hou, B. Huang, Double Dynamic Linearization based Higher order Indirect Adaptive Iterative Learning Control, IEEE Transactions on Cybernetics, accepted Nov. 2021.

·       W. Bai, F. Guo, L. Chen, K. Hao, B. Huang, Variational Bayesian inference for robust identification of PWARX systems with time-varying time-delays, IEEE Transactions on Cybernetics, accepted Oct. 2021.

·       L. Li, S.K. Damarla, Y. Wang*, B. Huang*, A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes, Information Science, Volume 581, December 2021, Pages 262-277.

·       R. Chi*, Y. Hui, R. Wang, B. Huang, Z. Hou, Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume: 52, Issue: 8, August 2022.

·       Z. Huang, Q. Liu, J. Liu*, B. Huang, A comparative study of model approximation methods applied to economic MPC, Canadian Journal of Chemical Engineering, CJCE Emerging Leaders paper.  Volume100, Issue8, August 2022, Pages 1676-1702 (Alliance)

·       R. Chiplunkar, B. Huang*, Latent variable modeling and state estimation of non-stationary processes driven by monotonic trends, Journal of Process Control, Volume 108, December 2021, Pages 40-54. (Alliance)

·       X. Zhu, S. Damarla, K. Hao*, B. Huang*, Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling, IEEE Transactions on Industrial Informatics, ol. 18, no. 8, pp. 5190-5198, Aug. 2022.

·       A. Senthil Sundaramo, J. Valluru, B. Huang*, Bayesian network approach to process data reconciliation with state uncertainties and recycle streams, Chemical Engineering Science, Volume 246, 31 December 2021, 116996.

·       A. Senthil Sundaramo, S. Kumar Varanasi, B. Huang*, Y. Ma, H. Zhang, D. Wang, Sparse Inverse Covariance Estimation for Causal Inference in Process Data Analytics, IEEE Transactions on Control Systems Technology, vol. 30, no. 3, pp. 1268-1280, May 2022.

·       V. K. Puli, B. Huang*, Complex Probabilistic Slow Feature Extraction with Applications in Process Data Analytics, Computers and Chemical Engineering, Volume 154, November 2021, 107456.

·       O. Dogru, R. Chiplunkar, B. Huang*, Reinforcement Learning with Constrained Uncertain Reward Function through Particle Filtering, IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 7491-7499, July 2022. (Alliance)

·       A. Khosbayar, J. Valluru*, B. Huang, Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data, Journal of Process Control, Volume 105, September 2021, Pages 48-61.

·       Y. Salehi, B. Huang*, Offline and Online Parameter Learning for Switching Multirate Processes with Varying Delays and Integrated Measurements, IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 7213-7222, July 2022.

·       O. Dogru, N. Wieczorek, K. Velswamy, Fadi Ibrahim, B. Huang*, Online Reinforcement Learning for a Continuous Space System with Experimental Validation, Journal of Process Control, Volume 104, August 2021, Pages 86-100. (Alliance)

·       Z. Chai, C. Zhao*, B. Huang, Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes, IEEE Transactions on Cybernetics, 10.1109/TCYB.2021.3090996, accepted June 2021.

·       Y. Alipouri, A. Kheradmand, B. Huang*, Data-driven multi-mode minimum variance controller design based on support vectors, Journal of Process Control, Volume 104, August 2021, Pages 28-39.

·       R. Han, Y. Salehi, B. Huang, V. Prasad, Parameter Estimation for Nonlinear Systems with Multirate Measurements and Random Delays, AIChE Journal,Volume67, Issue9, September 2021, e17327.

·       M. Fang, B. Huang*, Two-stage Time-varying Hidden Conditional Random Fields with Variable Selection for Process Operating Mode Diagnosis, Chemometrics and Intelligent Laboratory Systems, Volume 214, 15 July 2021, 104330.

·       A. Memarian, S. Varanasi, B. Huang*, Mixture robust semi-supervised probabilistic principal component regression with missing input data, Chemometrics and Intelligent Laboratory Systems, Volume 214, 15 July 2021, 104315.

·       W. Bai, F. Guo, L. Chen, K. Hao, B. Huang*, Identification of Gaussian process with switching noise mode and missing data, Journal of the Franklin Institute, Volume 358, Issue 8, May 2021, Pages 4546-4570.

·       X. Yang*, J. Gao, B. Huang, Data-driven design of fault detection and isolation method for distributed

·       homogeneous systems, Journal of the Franklin Institute, Volume 358, Issue 9, June 2021, Pages 4929-4949.

·       O. Dogru, K. Welswamy, B. Huang*, Actor-Critic Reinforcement Learning and Application in Developing Computer Vision Based Interface Tracking, Engineering, Volume 7, Issue 9, September 2021, Pages 1248-1261. (Alliance)

·       H. Chen, Z. Chai, O. Dorgu, B. Jiang, B. Huang*, Data-driven Designs of Fault Detection Systems via Neural Networks-aided Learning, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3071292, accepted Mar 2021.

·       Z. Chai, C. Zhao*, B. Huang, H. Chen, A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling with Missing Data, IEEE Transactions on Neural Networks and Learning Systems, accepted May 2021, 10.1109/TNNLS.2021.3085869.

·       Z. Chai, C. Zhao*, B. Huang, Multisource Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies, IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9784-9796, Sept. 2022.

·       J. Chen*, B. Huang, M. Gan, C. L. Chen, A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace, Automatica, Volume 129, July 2021, 109663.

·       Y. Hui, R. Chi, B. Huang and Z. Hou, Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 3, pp. 1881-1891, March 2021, doi: 10.1109/TSMC.2019.2907379.  (ESI Highly Cited Article).

·       C. Xu, S. Zhao*, Y. Ma, B. Huang, X. Luan, F. Liu, Sensor fault estimation in a probabilistic framework for industrial processes and its applications, IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 387-396, Jan. 2022.

·       H. Chen, Z. Chen, Z. Chai, B. Jiang, B. Huang*, A Single-side Neural Network-aided Canonical Correlation Analysis with Applications to Fault Diagnosis, IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9454-9466, Sept. 2022.

·       F. Amjad, S. K. Varanasi and B. Huang*, "Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions," IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-8, Feb. 2021, Art no. 5007308, doi: 10.1109/TIM.2021.3060598.

·       D. Zheng, X. Sun, S. Damarla, A. Shah, J. Amalraj, B. Huang, Valve Stiction Detection and Quantification Using K-means Clustering Based Moving Window Approach, Industrial & Engineering Chemistry Research, Feb. 2021, 60, 6, 2563–2577.

·       N. Lin, R. Chi*,  B. Huang, Event-triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents with Switching Topologies, IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 8951-8961, Sept. 2022.

·       Q. Jiang*, S. Chen, X. Yan, M. Kano, B. Huang, Data-driven Communication Efficient Distributed Monitoring for Multi-Unit Industrial Plant-wide Processes, IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1913-1923, July 2022.

·       J. Xie, B. Huang*, S. Dubljevic, Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference, IEEE Transactions on Knowledge and Data Engineering, 2021, DOI: 10.1109/TKDE.2021.3054671.

·       R. Chi*, Y. Hui, B. Huang, Z. Hou, X. Bu, Data-driven Adaptive Consensus Learning from Network Topologies, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 8, pp. 3487-3497, Aug. 2022.

·       F. Guo, B. Huang*, A Just-in-time Modeling Approach for Multimode Soft Sensor Based on Gaussian Mixture Variational Autoencoder, Computers and Chemical Engineering, Volume 146, March 2021, 107230.

·       W. Yu, C. Zhao*, B. Huang,  MoniNet with Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes, IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8340-8351, Aug. 2022.

·       Y. Cao, N. Magbool, B. Huang, M. Fang, Y. Wang*, W. Gui, Multimodal Process Monitoring Based on Variational Bayesian PCA and Kullback-Leibler Divergence between Mixture Models, Chemometrics and Intelligent Laboratory Systems, Volume 210, 15 March 2021, 104230.

·       X. Zhu, K. Hao, R. Xie, B. Huang, Soft Sensor Based on eXtreme Gradient Boosting and Bidirectional Converted Gates Long Short-Term Memory Self-Attention Network, Neurocomputing, Vol 434, Apr. 28, 2021 126-136.

·       R. Chi*, Y. Hui, B. Huang, Z. Hou, Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-time Systems, IEEE Transactions on Automatic Control, Full Paper, Volume: 66, Issue: 12, Dec. 2021, 5955 - 5967.

·       J. Wang, Y. Alipouri and B. Huang*, "Dual Neural Extended Kalman Filtering Approach for Multirate Sensor Data Fusion," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-9, Jan. 4, 2021, Art no. 6502109, doi: 10.1109/TIM.2020.3041825.

·       R. Han, Y. Salehi, B. Huang and V. Prasad*, "State Estimation for Multirate Measurements in the Presence of Integral Term and Variable Delay," in IEEE Transactions on Control Systems Technology, vol. 29, no. 6, pp. 2416-2426, Nov. 2021.

·       H. Chen, Z. Chai, B. Jiang and B. Huang*, "Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-12, 2021, Art no. 3504712, doi: 10.1109/TIM.2020.3033943.

·       Yin, X, Bo, S, Liu, J, Huang*, B. Consensusbased approach for parameter and state estimation of agrohydrological systems. AIChE J. 2021; 67:e17096. https://doi.org/10.1002/aic.17096, Volume67, Issue2, February 2021.

·       H. Chen*, B. Jiang, S.X. Ding, B. Huang, Data-driven Fault Diagnosis for Traction Systems in High-speed Trains: A Survey, Challenges, and Perspectives, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 1700-1716, March 2022. ESI Highly Cited paper, Hot Paper

·       N. Lin, R. Chi*, B. Huang, Z. Hou, Event-triggered Nonlinear Iterative Learning Control, IEEE Transactions on Neural Networks and Learning Systems, Volume: 32, Issue: 11, Nov. 2021, 5118 - 5128.

·       D. Scott, C. Shang*, B. Huang, D.X. Huang, A Holistic Probabilistic Framework for Monitoring Non-Stationary Dynamic Industrial Processes, IEEE Transactions on Control Systems Technology, VOL. 29, NO. 5, SEPTEMBER, 2239 - 2246, 2021.

·       J. Chen*, B. Huang and F. Ding, "Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation–Maximization Algorithm," in IEEE Transactions on Industrial Informatics, vol. 17, no. 8, pp. 5185-5196, Aug. 2021, doi: 10.1109/TII.2020.3025581.

·       R. Chi*, Y. Hui, C.J. Chien, B. Huang, Z. Hou, Convergence Analysis of Sampled-data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems with Non-repetitive Uncertainties, IEEE Transactions on Automatic Control, L, VOL. 66, NO. 7, JULY 2021, 3347-3354.

·       X. Zheng, F. Guo, L. Chen, K. Hao, B. Huang*, Hybrid Kernel Approach to Gaussian Process Modeling with Colored Noises, Computers and Chemical Engineering, Volume 143, 5 December 2020, 107067.

·       R. Chi*, H. Zhang, B. Huang, Z. Hou, Quantitative Data-driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-point Tracking, IEEE Transactions on Cybernetics, ol. 52, no. 6, pp. 4859-4873, June 2022.

·       S. Zhao*, B. Huang, C. Zhao, Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications, IEEE Transactions on Industrial Electronics, VOL. 68, NO. 9, SEPTEMBER 2021, 8853-8862.

·       R. Chiplunkar, B. Huang*, Siamese Neural Network-Based Supervised Slow Feature Extraction for Soft Sensor Application, IEEE Transactions on Industrial Electronics, VOL. 68, NO. 9, SEPTEMBER 2021, 8953-8962.

·       Genghong Lu, Dongqin Feng*, Biao Huang, Robust Algorithm for Attack Detection Based on  Time-varying HMM Subject to Outliers, International Journal of Adaptive Control and Signal Processing, Volume34, Issue10, October 2020, Pages 1537-1558, top downloaded article (2022.06).

·       F. Guo, B. Huang*, A Mutual Information-based Variational Autoencoder for Robust JIT Soft Sensing with Abnormal Observations, Chemometrics and Intelligent Laboratory Systems, Volume 204, 15 September 2020, 104118.

·       N. Lin, R. Chi*, B. Huang, Data-driven Nonlinear ILC with Varying Trial Length, Journal of the Franklin Institute, Volume 357, Issue 15, October 2020, Pages 10262-10287.

·       S. Zhao, B. Huang*, Trial-and-Error or Avoiding a Guess? Initialization of the Kalman Filter, Automatica, 121, 109184, Nov. 2020.

·       R. Raveendran, B. Huang*, Conjugate Exponential Family Graphical Models in Process Monitoring: A Tutorial Review, Chemometrics and Intelligent Laboratory Systems, Volume 204, 15 September 2020, 104095.

·       R. Chi*, Y. Hui, B. Huang, Z. Hou, Adjacent-agent Dynamic Linearization based Iterative Learning Formation Control, IEEE Transactions on Cybernetics, 10.1109/TCYB.2019.2899654, Volume: 50, Issue: 10, Oct. 2020, Page(s): 4358 - 4369.

·       G. Yan, Y. Alipouri, J. Liu*, B. Huang, Performance Assessment of Distributed LQG Control Subject to Communication Delays, International Journal of Control, https://doi.org/10.1080/00207179.2020.1775305, 2020.

·       H. Shafi, K. Velswamy, F. Ibrahim, B. Huang*, A Hierarchical Constrained Reinforcement Learning for Optimization of Bitumen Recovery Rate in a Primary Separation Vessel, Computers and Chemical Engineering, Volume 140, 2 September 2020, 106939.

·       R. Raveendran, B. Huang*, W. Mitchell,  A variational Bayesian causal analysis approach for time-varying systems, IEEE Transaction on Control System Technology, VOL. 29, NO. 3, MAY 2021, 1191-1202.

·       Y. Hui, R. Chi*, B. Huang,  Z. Hou and S. Jin, Observer-based Sampled-data Model-free Adaptive Control for Continuous-time Nonlinear Nonaffine Systems with Input Rate Constraints, IEEE Transactions on Systems, Man and Cybernetics: Systems. Volume: 51, Issue: 12, Dec. 2021, 7813 - 7822.

·       R. Chi*, Y. Hui, B. Huang, Z. Hou, X. Bu, Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations, IEEE Transactions on Cybernetics, accepted Feb. 2020, 10.1109/TCYB.2020.2977391.

·       W. Yu, C. Zhao*,  B. Huang, Stationary Subspace Analysis based Hierarchical Model for Batch Processes Monitoring, IEEE Transactions on Control Systems Technology, VOL. 29, NO. 1, JANUARY 2021, 444-453.

·       Y. Alipouri*, S. Zhao, B. Huang, Distributed data-driven observer for linear time invariant systems,  Int J Adapt Control Signal Process. April 2020;34:503–519. 

·       G. Lu, D. Feng*, B. Huang, HMM-based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts, IEEE Transactions on Industrial Electronics, S, VOL. 68, NO. 1, JANUARY 2021, 642-653.

·       Zhao, ZG*, Tulsyan, A,  Huang, B., Liu, F, Estimation and identification in batch processes with particle filters, JOURNAL OF PROCESS CONTROL, Volume: 81 Pages: 1-14, DOI: 10.1016/j.jprocont.2019.05.019, SEP 2019

·       N. Magbool, B. Huang, E. Aris, Z. Luke, F. Xu, G. Lee, Just-In-Time Learning for the Prediction of Oilsands Ore Characteristics using GPS data in Mining Applications, Can. J. Che. Eng., 98:2125–2136, 2020.

·       R. Chi*, Y. Hui, S. Zhang, B. Huang, Z. Hou, Discrete-time Extended State Observer based Model-free Adaptive Control via Local Dynamic Linearization, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Volume: 67, Issue: 10, Oct. 2020, Page(s): 8691 - 8701.

·       N. Lin, R. Chi*, B. Huang, Event-triggered Model-free Adaptive Control, IEEE Transactions on Systems, Man, and Cybernetics: Systems, VOL. 51, NO. 6, JUNE 2021, 3358-3369.

·       A. Vicente, S. Zhao, B. Huang*, Forward-Backward Smoothers with Finite Impulse Response Structure, IEEE Transactions on Systems, Man and Cybernetics: Systems, VOL. 51, NO. 2, FEBRUARY 2021. 765-774.

·       N. Lin, R. Chi*, B. Huang, Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths, IEEE Transactions on Systems, Man, and Cybernetics: Systems, VOL. 51, NO. 7, JULY 2021, 4048-4056.

·       Y. Wang, H. Zhang, S. Wei, D. Zhou, B. Huang, Control Performance Assessment for ILC-Controlled Batch Processes in Two-Dimensional System Framework, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2017.2672563, Volume 48 Issue 9, Sept. 2018, 1493 - 1504.

·       Y. Alipouri*, H. Alipouri, B. Huang, Multiple step ahead prediction based high order discrete-time sliding mode control design with actuator and communication delays, Journal of the Franklin Institute, Volume 357, Issue 12, August 2020, Pages 7845-7863.

·       F. Guo, B. Huang*, Output-relevant Variational Autoencoder for Just In Time Soft Sensor Modelling with Missing Data, Journal of Process Control, Volume 92, August 2020, Pages 90-97.

·       R. Nian, J. Liu*, B. Huang, A review on reinforcement learning: introduction and applications in industrial process control, Computers and Chemical Engineering, Volume 139, 4 August 2020, 106886.

·       Y. Mohankumar, Z. Li*, B. Huang, Integrated well pad development scheduling with steam injection control in steam-assisted gravity drainage, Journal of Process Control, Volume 89, May 2020, Pages 45-57.

·       Z. Li, X. Hong, K. Hao, L. Chen, B. Huang*, Gaussian Process Regression with heteroscedastic noises – A machine-learning predictive variance approach, Chemical Engineering Research and Design, Volume 157, May 2020, Pages 162-173.

·       S. Sedghi, R. Tan, B. Huang*, Data analytics approach for online produced fluid flow rate estimation in SAGD process, Computers and Chemical Engineering, Volume 136, 8 May 2020, 106766.

·       S. Kwak, Y. Ma, B. Huang*, Extracting Nonstationary Features for Process Data Analytics and Application in Fouling Detection, Computers and Chemical Engineering, Volume 135, 6 April 2020, 106762.

·       N. Lin, R. Chi*, B. Huang, Data-driven Recursive Least Squares Methods for Non-affined Nonlinear Discrete-time Systems, Applied Mathematical Modelling, Volume 81, May 2020, Pages 787-798.

·       F. Guo, B. Huang*, A Deep Learning Just-in-Time Modeling Approach for Soft Sensor Based on Variational Autoencoder, Chemometrics and Intelligent Laboratory System, Volume 197, 15 February 2020, 103922.

·       J. Chen*, B. Huang, Q. Zhu, Y. Liu, L. Li, Global convergence of the EM algorithm for ARX models with uncertain communication channels, Systems & Control Letters, Volume 136, February 2020, 104614.

·       Q. Jiang*, X. Yan, B. Huang, Learning Deep Discriminative Representations for Nonlinear Process Fault Detection, IEEE Transactions on Automation Science and Engineering, volume: 17, Issue: 3, July 2020, Page(s): 1410 - 1419.

·       J. Chen*, B. Huang, Q. Zhu, Y. Liu, L. Li, Global convergence of the EM algorithm for ARX models with uncertain communication channels, Systems and Control Letters, Volume 136, February 2020, 104614.

·       F. Shen, N. Magbool, B. Huang*, H. Yang, Probabilistic Just-in-Time Approach for Nonlinear Modeling with Bayesian Nonlinear Feature Extraction, Chemometrics and Intelligent Laboratory Systems, Volume 196, 15 January 2020, 103895.

·       Y. Alipouri, B. Huang*, Distributed control performance assessment and corresponding optimal controller design considering communication delays, IET Control Theory & Applications, Volume: 14, Issue: 4, 02 March 2020, pages 568 - 576.

·       R. Xie, N. Magbool Jan, K. Hao*, L. Chen, B. Huang*, Supervised Variational Autoencoders for Soft Sensor Modeling with Missing Data, IEEE Transactions on Industrial Informatics, Volume: 16, Issue: 4, April 2020, pages 2820 - 2828.

·       J. Ma, B. Huang*, F. Ding, Iterative Identification of Hammerstein Parameter Varying Systems with Parameter Uncertainties Based on Variational Bayesian Approach, IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume: 50, Issue: 3, March 2020, Page(s): 1035 - 1045.

·       Y. Yuan, Z. Li*, B. Huang, Oil Sands Extraction Plant Debottlenecking: an Optimization Approach, Optimization Letters, 14, pages 945–957, 2020.

·       L. Feng, C. Zhao*, B. Huang, A slow independent component analysis algorithm for time series feature extraction with the concurrent consideration of high-order statistic and slowness, Journal of Process Control, Volume 84, December 2019, Pages 1-12.

·       R. Chi*, Y. Lv, B. Huang, Distributed Iterative Learning Temperature Control for Multi-zone HVAC System, Journal of the Franklin Institute, Volume 357, Issue 2, January 2020, Pages 810-831.

·       N. Lin, R. Chi*, B. Huang, Linear Time-varying Data Model based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems, IEEE Access, 13 September 2019, pages 133304 - 133313.

·       Y. Mohankumar, Z. Li, B. Huang*, Steam allocation and production optimization in SAGD reservoir under steam-to-oil ratio uncertainty, Journal of Petroleum Science and Engineering, Volume 183, December 2019, 106456.

·       Q. Jiang, X. Yan*, B. Huang, Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes, Industrial & Engineering Chemistry Research, July 2019, 58, 29, 12899-12912. (Cover Article, ESI Highly Cited Article)

·       R. Chiplunkar, B. Huang*, Output relevant slow feature extraction using partial least squares, Chemometrics and Intelligent Laboratory Systems, Volume 191, 15 August 2019, Pages 148-157.

·       N. Lin, R. Chi*, B. Huang, Z. Hou, Iterative Dynamic Linearization and Identification of a Universal Nonlinear Learning Controller: A Data-driven Approach, Journal of the Franklin Institute, Volume 356, Issue 13, September 2019, Pages 7009-7027.

·       A. Daemi, H. Kodamana, Biao Huang*, Gaussian Process Modelling with Gaussian Mixture Likelihood, Journal of Process Control, Volume 81, September 2019, Pages 209-220.

·       R. Xie, K. Hao*, L. Chen, X. Cai, B. Huang, Data-driven modeling based on two-stream gated recurrent unit network with soft sensor application, IEEE Transaction on Industrial Electronics,10.1109/TIE.2019.2927197,  Volume: 67, Issue: 8, Aug. 2020, Page(s): 7034 - 7043.

·       M. Fang, H. Kodamana and B. Huang*, Real-time Mode Diagnosis for Processes with Multiple Operating Conditions Using Switching Conditional Random Fields, IEEE Transaction on Industrial Electronics, Volume: 67, Issue: 6, June 2020, Pages 5060 - 5070.

·       X. Yuan*, J. Zhou, B. Huang, Y. Wang, C. Yang, W. Gui, Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Volume: 16 Issue: 6, June 2020, Pages: 3721-3730. (ESI Highly Cited Article).

·       Z. Liu, H. Kodamana, B. Huang*, A. Afacan, Dynamic Prediction of Interface Level Using Spatial Temporal Markov Random Field, Computers and Chemical Engineering, Volume 128, 2 September 2019, Pages 301-311.

·       R. Li, N. Magbool Jan, B. Huang, V. Prasad, Constrained Ensemble Kalman Filter based on Kullback-Leibler Divergence, Journal of Process Control, Volume 81, September 2019, Pages 150-161.

·       A. Daemia, Y. Alipouri, B. Huang*, Identification of Robust Gaussian Process Regression with Noisy Input using EM Algorithm, Chemometrics and Intelligent Laboratory Systems, Volume 191, 15 August 2019, Pages 1-11.

·       J. Ma, B. Huang*, F. Ding, Parameter estimation of Markov-switching Hammerstein systems using variational Bayesian approach, IET Control Theory & Applications, Volume: 13, July 2019, Page(s): 1646 - 1655.

·       C. Xu, S. Zhao, Y. Ma, B. Huang*, F. Liu, Robust filter design for asymmetric measurement noise using variational Bayesian inference, IET Control Theory & Applications, Volume: 13, July 2019, Page(s): 1656 - 1664.

·       R. Li, N. Magbool Jan, V. Prasad*, B. Huang, Constrained Multimodal Ensemble Kalman filter based on Kullback-Leibler (KL) Divergence, Journal of Process Control, 79, Feb. 2019, Pages 16-28.

·       S. Zhang, C. Zhao*, B. Huang, Simultaneous static and dynamic analysis for fine-scale identification of process operation statuses, IEEE Transactions on Industrial Informatics, Volume: 15, Issue: 9, Sept. 2019, Page(s): 5320 - 5329.

·       W Li, C. Zhao*, B. Huang, Distributed Dynamic Modeling and Monitoring for Large-Scale Industrial Processes under Closed-Loop Control, Ind. Eng. Chem. Res., 2018, 57 (46), pp 15759–15772.

·       C. Zhao*, B. Huang, Incipient fault detection for complex industrial processes with stationary and nonstationary hybrid characteristics, Industrial & Engineering Chemistry Research 57 (14), 5045-5057, 2018.

·       M. Fang, F. Ibrahim, H. Kodamana, B. Huang*, N. Bell, M. Nixon, Hierarchical Distributed Monitoring for Early Prediction of Gas Flare Events, Industrial & Engineering Chemistry Research, Ind. Eng. Chem. Res. Feb. 2019, 58, pp 11352-11363.

·       Y. Ma, S. Zhao, B. Huang*, Feature Extraction of Constrained Dynamic Latent Variables. IEEE Transactions on Industrial Informatics. Volume: 15 , Issue: 10 , Oct. 2019, Page(s): 5637 - 5645.

·       Y. Hui, R. Chi*, B. Huang, Z. Hou, 3-Dimensional Learning Enhanced Adaptive ILC for Iteration-varying Formation Tasks, IEEE Transactions on Neural Networks and Learning Systems, Volume: 31, Issue: 1, Jan. 2020, 89 - 99.

·       Y. Alipouri, B. Huang*, Distributed multiple step ahead prediction considering communication delays, IET Control Theory & Applications, Volume: 13, Issue: 6, Apr. 2019, Page 806 - 814

·       A. Vicente, R. Raveendran, B. Huang*, S. Sedghi, A. Narang, H. Jiang, W. Mitchell, Computer Vision System for Froth-Middlings Interface Level Detection in the Primary Separation Vessels, Computers and Chemical Engineering, Volume 123, 6 April 2019, Pages 357-370.

·       Y. Qin, C. Zhao*, B. Huang, A new soft-sensor algorithm with concurrent consideration of slowness and quality interpretation for dynamic chemical process, Chemical Engineering Science, Volume 199, May 2019, Pages 28-39.

·       H. Alighardashi, N. Magbool, B. Huang*, Data Rectification for Multiple Operating Modes: A MAP Framework, Computers and Chemical Engineering, Volume 123, 6 April 2019, Pages 272-285.

·       N. Sammaknejad, Y. Zhao, B. Huang*, A Review of the Expectation Maximization Algorithm in Data-driven Process Identification, Journal of Process Control, Volume 73, January 2019, Pages 123-136.

·       A. Tulsyan*, S. Khare, B. Huang, B. Gopaluni, F. Forbes, A switching strategy for adaptive state estimation, Signal Processing, Volume 143, February 2018, Pages 371-380.

·       X. Luan, B. Huang, F. Liu, S. Sedghi, Probabilistic PCR based near-infrared modeling with temperature compensation, ISA Transactions, Volume 81, October 2018, Pages 46-51.

·       W. Shen, Z. Li*, B. Huang, N. Magbool Jan, Chance-Constrained Model Predictive Control for SAGD Process using Robust Optimization Approximation, Industrial & Engineering Chemistry Research, Ind. Eng. Chem. Res. 2019, 58, 26, 11407-11418.

·       N. Lin, R. Chi, B. Huang, Z. Hou, Multi-lagged-input Iterative Dynamic Linearization based Data-driven Adaptive Iterative Learning Control, Journal of the Franklin Institute, Volume 356, January 2019, Pages 457-473.

·       E. Naghoosi, B. Huang*, Detecting the direction of information flow in instantaneous relations between variables, IEEE Transaction on Control System Technology, Volume: 28, Issue: 2, March 2020, Page(s): 542 - 54.

·       Q. Jiang*, X. Yang, B. Huang, Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring with Missing Data, IEEE Transactions on Control Systems Technology, Volume: 27, Issue: 6, Nov. 2019, Page(s): 2330 - 2339.

·       X. Hong, B. Huang*, Y. Ding, F Guo, L.Chen, L. Ren, Multivariate Gaussian Process Regression for Nonlinear Modelling with Colored Noise, Transactions of the Institute of Measurement and Control, 41(8), 2268-2279, 2019.

·       Y. Ma, S. Zhao, B. Huang*, Multiple-Model State Estimation Based on Variational Bayesian Inference, IEEE Transactions on Automatic Control, Volume: 64, Issue: 4, April 2019, Page(s): 1679 - 1685.

·       G. Yang, J. Liu*, B. Huang, Limits of Control Performance for Distributed Networked Control Systems in Presence of Communication Delays, International Journal of Adaptive Control and Signal Processing, Volume 32, Issue 9, September 2018, Pages 1282-1293.

·       R. Raveendran, K. Hariprasad, B. Huang*, Process monitoring using generalized probabilistic linear latent variable model, Automatica, Volume 96, October 2018, Pages 73–83.

·       S. Zhao, Y. Ma, B. Huang*, Probabilistic Monitoring of Sensors in State-Space with

·       Variational Bayesian Inference, IEEE Transactions on Industrial Electronics, Volume: 66, Issue: 3, March 2019,  2154 - 2163.

·       R. Raveendran, B. Huang*, Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data,  IEEE Transactions on Cybernetics, Volume: 49, Issue: 7, July 2019, Page(s): 2580 - 2590.

·       L. Fan, H. Kodamana, B. Huang, Semi-supervised Dynamic Latent Variable Modeling: I/O Probabilistic Slow Feature, AIChE J., Volume 65, Issue3, March 2019, Pages 964-979.1

·       Y. Wang*, Y. Si, B. Huang, Z. Luo, Survey on the Theoretical Research and Engineering Applications of Multivariate Statistics Process Monitoring Algorithms: 2008-2017, Canadian Journal of Chemical Engineering, Volume 96, Issue 10, October 2018, Pages 2073-2085. (ESI Highly Cited Article)

·       S. Zhao, Y. Ma, B, Huang*, Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers, IEEE Transactions on Industrial Informatics, Volume: 15, Issue: 1, Jan. 2019, 139 - 147.

·       R. Chi*, Z. Hou, S. Jin, B. Huang, Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 5971-5980, 2018.

·       H. Kodamana, B. Huang*, R. Ranjan, Y. Zhao, R. Tan, N. Sammaknejad, Approaches to Robust Process Identification: A Review and Tutorial of Probabilistic Methods, Journal of Process Control, Volume 66, June 2018, 68-83. (A most cited article).

·       J. Chen, B. Huang*, F. Ding, Y. Gu, Variational Bayesian approach for ARX systems

·       with missing observations and varying time-delays, Automatica, Volume 94, August 2018,  194-204.

·       C. Xu, S. Zhao, B. Huang*, F. Liu, Distributed Student’s T Filtering Algorithm for Heavy Tailed Noises, International Journal of Adaptive Control and Signal Processing,

·       Volume32, Issue 6, June 2018, Pages 875-890 2018.

·       C. Shang, F. Yang*, B. Huang, D.X. Huang, Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes, IEEE Trans on Industrial Electronics, Volume: 65, Issue: 11, Pages 8895 - 8905, Nov. 2018.

·       X. Yuan*, B. Huang, Y. Wang, C. Yang, W. Gui, Deep learning based feature representation and its application for soft sensor modeling with variable-wise weighted SAE, IEEE Transactions on Industrial Informatics, Volume: 14, Issue: 7, July 2018, Pages 3235 - 3243. (ESI Highly Cited Article)

·       Y. Alipouri, B. Huang*, H. Kodamana, Minimum Variance Bound and Minimum Variance Controller for Convex Nonlinear Systems with Input Constraint, IET Control Theory & Applications, Volume 12, Issue 6, April 2018, 761 – 769.

·       M. Rashedia, O. Xu, S. Kwak, S. Sedghi, J. Liu, B. Huang*,  An Integrated First Principle Modeling to Steam Assisted Gravity Drainage (SAGD), Journal of Petroleum Science and Engineering, Volume 163, April 2018, 501-510. https://doi.org/10.1016/j.petrol.2018.01.005

·       M. Fang,  H. Kodamana, B. Huang*, A Novel Approach to Process Operating Mode Diagnosis Using Conditional Random Fields in the Presence of Missing Data, Computers & Chemical Engineering, Volume 111, March 2018, 149-163.

·       J. Ma*, O. Wu, B. Huang, F. Ding, Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother, Signal Processing, Volume 145, April 2018, 295-303.

·       L. Fan, H. Kodamana, B. Huang*, Identification of Robust Probabilistic Slow Feature Regression Model for Process Data Contaminated with Outliers, Chemometrics and Intelligent Laboratory Systems, Volume 173, February 2018,  1-13.

·       Y. Ma, B. Huang*, Extracting Dynamic Features with Switching Models for Process Data Analytics and Application in Soft Sensing, AIChE J., Volume 64, Issue 6, June 2018, 2037-2051., DOI: 10.1002/aic.16059.

·       C. Zhao, B. Huang*, A Full-condition Monitoring Method for Nonstationary Dynamic Processes with Cointegration and Slow Feature Analysis, AIChE J., Volume 64, Issue 5, May 2018, 1662-1681.

·       X. Hong, Y. Ding, L. Ren, L. Chen, B. Huang*, A Weighted Heteroscedastic Gaussian Process Modelling via Particle Swarm Optimization, Chemometrics and Intelligent Laboratory Systems, Volume 172, January 2018, 129-138.

·       H. Kodamana, R. Raveendran, B. Huang*, Mixtures of probabilistic PCA with common structure latent bases for process monitoring, IEEE Transactions on Control Systems Technology, Volume: 27, Issue: 2 , March 2019, 838 - 846.

·       H. Mei, Z. Wang, B.  Huang*, Molecular-based Bayesian regression model of petroleum fractions, Industrial & Engineering Chemistry Research, 56(50), Nov 2017, 14865–14872.

·       H. Alighardashi, N. Magbool Jan, B. Huang*, Expectation Maximization Approach for

·       Simultaneous Gross Error Detection and Data Reconciliation Using Gaussian Mixture Distribution, Industrial & Engineering Chemistry Research, 56 (49), November 2017, 14530–14544.

·       Z. Ge*, Z. Song, S.X. Ding, B. Huang, Data Mining and Analytics in the Process Industry: the Role of Machine Learning, IEEE Access, Volume 5, 20590 - 20616, September 2017. (ESI Highly Cited Article)

·       Y. Yuan, Z. Li*, B. Huang, Nonlinear Robust Optimization for Process Design, AIChE J., Volume 64, Issue 2, February 2018, 481-494.

·       G. Wang, K. Velswamy, B. Huang*, A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems, Processes, Processes, August 2017, 5, 46; doi:10.3390/pr5030046, 18 pages, http://www.mdpi.com/2227-9717/5/3/46/pdf.

·       X. Hong, B. Huang,*, Y.S. Ding, F. Guo, L. Chen, and L. Ren, Multi-model Multivariate Gaussian Process Modelling with Correlated Noises, Journal of Process Control, Volume 58, 11-22, October 2017.

·       N. Lin, R. Chi*, B. Huang, C. Chien, Y. Feng, An E-HOIM based Data-driven Adaptive TILC of Nonlinear Discrete-time Systems for Non-repetitive Terminal Point Tracking, Asian Journal of Control, Volume 20, Issue 3, May 2018, 1135-1144.

·       R. Raveendran, B. Huang*, Two Layered Mixture Bayesian Probabilistic PCA for Dynamic Process Monitoring, Journal of Process Control, September 2017, 57, 148-163.

·       M. Rashedi, J. Liu, B. Huang*, Triggered Communication in Distributed Adaptive High-Gain EKF, IEEE Transactions on Industrial Informatics, Volume: 14, Issue: 1, Jan. 2018, 58-68, DOI: 10.1109/TII.2017.2715340.

·       S. Zhao, B. Huang*, Y. S. Shmaliy, Bayesian State Estimation on Finite Horizons: the Case of Linear

·       State-Space Model, Automatica, Volume 85, 91-99, November 2017.

·       R. Chi*, X. Liu, R. Zhang, Z. Hou, B. Huang, Constrained Data-driven Optimal Iterative Learning Control, Journal of Process Control, July 2017, 55, 10-29.

·       F. Guo, H. Kodamana, B. Huang*, Y.S. Ding, Robust Identification of Nonlinear Errors-in-variables Systems with parameter Uncertainties Using Variational Bayesian Approach, IEEE Transactions on Industrial Informatics,Volume: 13, Issue: 6, Dec. 2017, 3047-3057,  DOI: 10.1109/TII.2017.2712743.

·       R. Chi, N. Lin, R. Zhang, B. Huang, Constraint Data-Driven Optimal Terminal ILC of End Product Quality for a Class of I/O Constrained Batch Processes, Canadian Journal of Chemical Engineering, 96, 215-222, Jan. 2018.

·       Chi R., Huang B., Hou Z., Optimal Iterative Learning Control of Batch Processes: From Model-based to Data-driven, ACTA Automatica Sinica (in Chinese), August 2017, 43, 917-932.

·       R. Chi*, B. Huang, Z. Hou, S. Jin, Data-driven High-order Terminal Iterative Learning Control with a Faster Convergence Speed, International Journal of Robust and Nonlinear Control, Volume 28, Issue 1, January 2018, 103-119.

·       X. Luan* , B. Huang, F. Liu, Higher order moment stability region for Markov jump systems based on cumulant generating function, Automatica, Volume 93, July 2018, 389-396.

·       F. Guo, O. Wu, Y. Ding, B. Huang*, A Data-based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm, IEEE Transactions on Industrial Electronics, Volume 64, 8657 - 8665, November 2017, DOI: 10.1109/TIE.2017.2703680.

·       S. Zhao, B. Huang*, Iterative Residual Generator for Fault Detection with Linear Time-Invariant State-Space Models, IEEE Transaction on Automatic Control, Volume: 62, Issue: 10, Oct. 2017, 5422 - 5428.

·       R. Chi*, Z. Hou, S. Jin, B. Huang, An Improved Data-driven Point-to-Point ILC Using Additional Online Control Inputs with Experimental Verification, IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume: 49, Issue: 4, April 2019, Page(s): 687 - 696. ---

·       F. Guo, O. Wu, H. Kodamana, Y. Ding, B. Huang*, An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm, IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume: 48, Issue: 11, Nov. 2018, 1968 - 1978, DOI: 10.1109/TSMC.2017.2692273 .

·       M. Rashedi, J. Liu, B. Huang*, Distributed adaptive high-gain extended Kalman filtering for

·       nonlinear systems, International Journal of Robust and Nonlinear Control, Volume 27, 4873 - 4902, December 2017.

·       A. Fatehi, B. Huang*,  State estimation and fusion in the presence of integrated measurement, IEEE Transactions on  Instrumentation & Measurement, May 2017,66,2490-2499, DOI: 10.1109/TIM.2017.2701143.

·       A. Sadeghian, B. Huang*, Robust Probabilistic Principal Component Analysis Based Process Modeling: Dealing with Simultaneous Contamination of Both Input and Output Data, Journal of Process Control, Volume 67, July 2018, 94-111.

·       A. Raghu, X. Yang, S. Khare, J. Prakash, B. Huang, V. Prasad, Reservoir History Matching Using Constrained Ensemble Kalman Filtering. Canadian Journal of Chemical Engineering, Volume 96, Issue 1, January 2018, 145-159.

·       F. Guo, H. Kodamana, B. Huang*, Y.S. Ding*, Robust Identification for Nonlinear Errors-in-variables Systems Using the EM Algorithm, Journal of Process Control, Volume 54, June 2017, Pages 129–137.

·       S. Sedghi, A. Sadeghian, B. Huang*, Mixture Semisupervised Probabilistic Principal Component Regression Model with Missing Inputs, Computers and Chemical Engineering, Volume 103, 4 August 2017, Pages 176–187.

·       Y. Ma, B. Huang*, Bayesian Learning for Dynamic Feature Extraction with Application in Soft Sensing, IEEE Transactions on Industrial Electronics, March 2017, 64, 7171-7180, DOI: 10.1109/TIE.2017.2688970.

·       R. Chi, Z. Hou, S. Jin, B. Huang*, Computationally-light Non-lifted Data-driven Norm-optimal Iterative Learning Control, Asian Journal of Control, 20, 115-124, January 2018.

·       A. Fatehi, B. Huang, Kalman Filtering Approach to Multi-rate Information Fusion in the Presence of Irregular Sample Rate and Variable Measurement Delay, Journal of Process Control, Volume 53, May 2017, Pages 15–25.

·       S. Sedghi, B. Huang*, Real-time Assessment and diagnosis of Process Operating Performance, Engineering, April 2017, 3(2): 214 -219.

·       E. Naghoosi, B. Huang*, Wavelet transform based methodology for detection and diagnosis of multiple oscillations in non-stationary variables, Industrial & Engineering Chemistry Research, Feb. 2017, 56 (8), pp 2083–2093.

·       Y. Zhao, A. Fatehi, B. Huang*, Robust Estimation of ARX Models with Time Varying Time Delays Using Variational Bayesian, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2016.2646059, Volume: 48, Issue: 2, Feb. 2018,  532 - 542.

·       W. Xiong, Y. Li, Y. Zhao, B. Huang*, Adaptive Soft Sensor Based on Time Difference Gaussian Process Regression with Local Time-delay Reconstruction, Chemical Engineering Research and Design, Volume 117, January 2017, Pages 670–680.

·       Q. Liu*, Q. Jin, B. Huang, M. Liu, Iteration Tuning of Disturbance Observer-based Control System Satisfying Robustness Index for FOPTD processes, IEEE Trans. on Control System Technology, Volume 25, 1978-1988, November 2017, DOI: 10.1109/TCST.2016.2632533.

·       S. Zhao, B. Huang*, F. Liu, Detection and Diagnosis of Multiple Faults with Uncertain Modeling Parameters, IEEE Trans. on Control System Technology, September 2017, 25, 1873-1881, DOI: 10.1109/TCST.2016.2624142.

·       Yuri A. W. Shardt*, B. Huang, Parameter-Based Conditions for Closed-Loop System Identifiability of ARX models with Routine Operating Data, Journal of the Franklin Institute, Volume 354, January 2017, Pages 722-751.

·       R. Tan, B. Huang*, Z. Li, Estimation of Flat-topped Gaussian Distribution with Application in System Identification, Journal of Chemometrics, Volume 30, December 2016, Pages 726-738.

·       K. Zhang, Y. Zhu*, B. Huang, MV benchmark estimation based on high-frequency test signal, Journal of Process Control, Volume 47, November 2016, Pages 35-45.

·       X. Yuan, Z. Ge, B. Huang*, Z. Song, Semi-supervised JITL framework for nonlinear industrial soft sensing based on locally semi-supervised weighted PCR, IEEE Transactions on Industrial Informatics, Volume: 13, Issue: 2, April 2017, 532 - 541.

·       Y. Lu, B. Huang, S. Khatibisepehr, A Variational Bayesian Approach to Robust Identification of Switched ARX Models, IEEE Transactions on Cybernetics, Dec; 46(12):3195-3208, 2016.

·       L. Cao, Y. Tao, Y. Wang*, J. Li, B. Huang, Reliable H Control for Nonlinear Discrete-Time Systems with Multiple Intermittent Faults in Sensors or Actuators, International Journal of Systems Science, Volume 48, May 2016, Pages 302-315.

·       Q. Jiang, B. Huang*, Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method, Journal of Process Control, Volume 46, October 2016, Pages 75-83. (A most cited article)

·       E. Naghoosi, B. Huang, Interaction analysis of multivariate control systems under Bayesian framework IEEE Trans on Control Systems Technology, Volume 25, Issue 5, September 2017, 1644-1655, DOI: 10.1109/TCST.2016.2623281.

·       S. Zhao, B. Huang*, F. Liu, Localization of Indoor Mobile Robot Using Minimum Variance Unbiased FIR Filter, IEEE Transactions on Automation Science and Engineering, Volume: 15, Issue: 2, April 2018, 410 - 419, DOI: 10.1109/TASE.2016.2599864.

·       R. Chi*, N. Lin, R. Zhang, B. Huang, Y. Feng, Stochastic High-order Internal Model-based Adaptive TILC with Random Uncertainties in the Initial States and Desired Reference Point, International Journal of Adaptive Control and Signal Processing, August 2016, 31, 726-741.

·       Y. Zhao, A. Fatehi, B. Huang*, A data-driven hybrid ARX and Markov-Chain modeling approach to process identification with time varying time delays, IEEE Trans on Industrial Electronics, Volume: 64, Issue: 5, May 2017, 4226 - 4236.

·       M. Rashedi, J. Liu, B. Huang*, Communication Delays and Data Losses in Distributed Adaptive High-Gain EKF, AIChE J., Volume 62, June 2016, Pages 4321-4333.

·       X. Yuan, Z. Ge, B. Huang*, Z. Song, A probabilistic just-in-time learning framework for soft sensor development with missing data, IEEE Trans on Control Systems Technology, DOI: 10.1109/TCST.2016.2579609, Volume: 25, Issue: 3, May 2017, Page(s): 1124 - 1132.

·       Y. Yuan, Z. Li*, B. Huang, Robust Optimization Approximation for Joint Chance Constrained Optimization Problem, Journal of Global Optimization, April 2017, Volume 67, Issue 4, pp 805–827.

·       S. Nazari, B. Rashidi, Q. Zhao, B. Huang, An Iterative Algebraic Geometric Approach for Identification of Switched ARX Models with Noises, Asian Journal of Control, Vol. 18, No. 5, pp. 1–13, September 2016.

·       S. Zhao, B. Huang*, F. Liu, Linear Optimal Unbiased Filter for Time-Variant Systems without Apriori Information on Initial Conditions, IEEE Trans. On Automatic Control, Volume: 62, Issue: 2, Feb. 2017,882 - 887.

·       Q. Jin, Q. Liu, B. Huang*, Control design for disturbance rejection in the presence of uncertain delays, IEEE Trans on Automation science and engineering, Volume 14, 1570-1581, October 2017, DOI: 10.1109/TASE.2015.2476701.

·       Q. Jiang, B. Huang*, S.X. Ding, X. Yan, Bayesian fault diagnosis with asynchronous measurements and its application in networked distributed monitoring, IEEE Trans on Industrial Electronics, VOL. 63, NO. 10, OCTOBER 2016, Pages 6316 - 6324.

·       W. Xiong, W. Zhang, B. Xu , B. Huang*, JITL based MWGPR soft sensor for Multi-mode process with Dual-updating strategy, Computers and Chemical Engineering, Volume 90, 12 July 2016, Pages 260–267.

·       L. Xie*, H. Yang, F. Ding, B. Huang, Novel model of non-uniformly sampled-data systems based on a time-varying backward shift operator, Journal of Process Control, Volume 43, July 2016, Pages 38–52.

·       R. Ranjan, B. Huang*, A. Faehi, Robust Gaussian process modeling using EM algorithm, Journal of Process Control, Volume 42, June 2016, Pages 125–136.

·       Y. Ding*, N. Xu, S. Dai, L. Ren, K. Hao, B. Huang, An Immune System-Inspired Reconfigurable, IEEE Trans on Control System Technology, Volume: 24 Issue: 5. 2016, 1875 - 1882.

·       A. Sadeghian, B. Huang*, Robust Probabilistic Principal Component Analysis for Process Modeling Subject to Scaled Mixture Gaussian Noise, Computers & Chemical Engineering, Volume 90, 12 July 2016, Pages 62–78.

·       X. Yang, B. Huang*, H. Gao, A Direct Maximum Likelihood Optimization Approach to Identification of LPV Time-delay Systems, Journal of the Franklin Institute, Volume 353, Issue 8, May 2016, Pages 1862–1881.

·       R. Li, V. Prasad*, B. Huang, Gaussian mixture model-based ensemble Kalman filtering for state and parameter estimation for a PMMA process, Processes, March 2016, 4(2), 9, 18 pages.

·       X. Yuan, B. Huang*, Z. Ge, Z. Song, Double locally weighted principal component regression for soft sensor with sample selection under supervised latent structure, Chemometrics and Intelligent Laboratory Systems, Volume 153, 15 April 2016, Pages 116–125.

·       S. Sharma, S. Khare, B. Huang*, Robust Online Algorithm for Adaptive Linear Regression Parameter Estimation and Prediction, Journal of Chemometrics, Volume 30, Issue 6

·       June 2016 , Pages 308–323.

·       J. Chen, T. Pan*, T. Pu, B. Huang, D. Huang, W. Zhang, S. Gabos, C. Jin, Predicting GHS toxicity using RTCA and discrete-time Fourier transform, Journal of Bioinformatics and Computational Biology, Vol. 14, No. 1 (2016) 1650004 (20 pages).

·       F. Guo, C. Shang, B. Huang, K. Wang, F. Yang*, D. Huang, Monitoring of Operating Point and Process Dynamics via Probabilistic Slow Feature Analysis, Journal of Chemometrics and Intelligent Laboratory Systems, Volume 151, 15 February 2016, Pages 115–125.

·       C. Shang, B. Huang*, F. Yang, D. Huang, Slow Feature Analysis for Monitoring and Diagnosis of Control Performance, Journal of Process Control, Volume 39, March 2016, Pages 21–34.

·       R. Chi*, B. Huang, D. Wang, R. Zhang, Data-driven Optimal Terminal Iterative Learning Control with Initial Value Dynamic Compensation, IET Control Theory & Applications, Volume 10, Issue 12, 08 August 2016, p. 1357 – 1364.

·       Q. Jin, Q. Liu*, B. Huang, New results on the robust stability of PID controllers with gain and phase margins for UFOPTD processes, ISA Transaction, Volume 61, March 2016, Pages 240–250.

·       Y. Yuan, Z. Li*, B. Huang, Robust Optimization under Correlated Uncertainty: Formulations and Computational Study, Computers & Chemical Engineering, Volume 85, 2 February 2016, Pages 58–71.

·       G. Jia. Y. Wang*, B. Huang, Dynamic Higher-Order Cumulants Analysis for State Monitoring Based on a Novel Lag Selection, Information Sciences, 331, Feb 2016, 45-66.

·       Q. Jiang, B. Huang*, X. Yan, GMM and optimal principal components-based Bayesian method for multimode fault diagnosis, Computers and Chemical Engineering, 84, Jan. 2016, 338-349.

·       L. Chen, B. Huang, Q. Feng*, Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems, Chinese Journal of Chemical Engineering, 23,1945-1950, 2015

·       K. Sivaramkishnan, B. Huang, A.K. Jana*, Predicting wellbore dynamics in a steam-assisted gravity drainage system: numerical and semi-analytic model, and validation, Applied Thermal Engineering, 91, Dec. 2015, 679-686.

·       X. Xu, B. Huang, S. Dubljevic*, Optimal continuous-time state estimation for linear finite and infinite-dimensional chemical process systems with state constraints, Journal of Process Control,35, 127-142, 2015

·       N. Sammaknejad, B. Huang*, Robust Diagnosis of Operating Mode Based on Time Varying Hidden Markov Models, IEEE Transactions on Industrial Electronics, VOL. 63, NO. 2, FEBRUARY 2016, 1142-1152.

·       Q. Jiang, X. Yan, B. Huang*, Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference, IEEE Transactions on Industrial Electronics, 63, Jan 2016, 377-386. (ESI Highly Cited Article)

·       X. Yang, B. Huang, Y. Zhao, Y. Lu, W. Xiong, H Gao, Generalized expectation-maximization approach to LPV process identification with randomly missing output data, Chemometrics and Intelligent Laboratory Systems, Volume 148, 15 November 2015, Pages 1–8.

·       C. Shang, B. Huang*, D.X. Huang, F. Yang, Probabilistic Slow Feature Analysis-Based Representation Learning from Massive Process Data for Soft Sensor Modeling, AIChE J, 61: 4126–4139, Dec. 2015.

·       Y. Wang, H. E. Mazin, W. Xu*, and B. Huang, Estimating Harmonic Impact of Individual Loads Using Multiple Linear Regression Analysis, International Transactions on Electrical Energy Systems, April 2016; 26:809–824.

·       L. Chen, S. Khatibisepehr, B. Huang*, F. Liu, Y. Ding, Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data, AIChE J., 61, pp. 3270-3287, Oct. 2015.

·       R. Gonzalez and B. Huang*, Process monitoring using kernel density estimation and Bayesian networking with an industrial case study, ISA Transaction, Volume 58, September 2015, Pages 330–347.

·       Y. Yuan, S. Khatibisepehr, B. Huang*, Z. Li, Bayesian Method for Simultaneous Gross Error Detection and Data Reconciliation, AIChE J., 61, pp. 3232-3248, Oct. 2015.

·       Y. Guo and B. Huang, State estimation incorporating infrequent, delayed and integral measurements, Automatica, 58, pp 32-38, Aug. 2015.

·       R. Chi, Zhongsheng Hou, Biao Huang, Shangtai Jin, A Unified Data-driven Design Framework of Optimality-based Generalized Iterative Learning Control, Computers and Chemical Engineering,Vol. 77, pp 10-23, June 2015.

·       Y. Shardt, B. Huang, S. Ding, Minimal required excitation for closed-loop identification: Some implications for data-driven, system identification, Journal of Process Control, 27, 2015, 22-35.

·       J. Zheng, B. Huang, A Bayesian sparse reconstruction method for fault detection and isolation, Journal of Chemometrics, Vol. 29, Issue 6, pp 349 – 360, June 2015.

·       S. Chen, T. Pan*, B. Devendran, Z. Xi, S. Khare, B. Huang*, W. Zhang, S. Gabos, D.Y. Huang, C. Jin, Analysis of Inter-/Intra- E-Plate Repeatability in the Real Time Cell Analyzer, Analytical Biochemistry, Vol. 477, pp 98 – 104, May 2015.

·       S. Zhao, B. Huang*, F. Liu, Fault Detection and Diagnosis of Multiple-Model Systems with Mismodeled Transition Probabilities, IEEE Transactions on Industrial Electronics, Volume 62, Issue 8, August 2015, pp 5063-5071.

·       T. Pan*, H. Li, S. Khare, B. Huang*, D. Huang, W. Zhang, S. Garbos, High-Throughput Screening Assay for the Environmental Water Samples Using Cellular Response Profiles, Ecotoxicology and Environmental Safety, Vol. 114, pp 134 – 142, January 2015.

·       S. Zhao, Y.S. Shmaliy, B. Huang*, F. Liu, Minimum variance unbiased FIR filter for discrete time-variant systems, Automatica, Vol. 53, pp 355-361, March 2015.

·       Z. Zhao*, Q. Li, B. Huang, F. Liu, Z. Ge, Process monitoring based on factor analysis: Probabilistic analysis of monitoring statistics in presence of both complete and incomplete measurements, Chemometrics and Intelligent Laboratory Systems, Vol. 142, pp 18-27, March 2015.

·       T. Liu*, B. Huang, J. Qin, Bias-eliminated subspace model identification under time-varying deterministic type load disturbance, Journal of Process Control, Vol. 25, pp 41-49, January 2015.

·       M. Ma, S. Khatibisepehr, B. Huang*, A Bayesian Framework for Real-time Identification of Locally Weighted Partial Least Squares, AIChE Journal, Vol. 61, Issue 2, pp 518 – 529, February 2015.

·       S. Nazari, Q. Zhao*, B. Huang, Detecting and Isolating Abrupt Changes in Linear Switching Systems, International Journal of Control, Vol. 88, Issue 4, January 2015.

·       O. Namaki, B. Huang*, Bayesian Control Loop Diagnosis by Combining Historical Data and Process Knowledge of Fault Signatures, IEEE Transactions on Industrial Electronics,, Vol. 62, No. 6, June 2015.

·       N. Sammaknejad, B. Huang*, W. Xiong, A. Fatehi, F. Xu, A. Espejo, Operating Condition Diagnosis Based on HMM with Adaptive Transition Probabilities in Presence of Missing Observations, AIChE Journal, Vol. 61, Issue 2, February 2015.

·       E. Naghoosi, B. Huang*, Diagnosis of oscillations between controller tuning and harmonic external disturbances, IEEE Transactions on Control Systems Technology, Vol. 23, Issue 4, July 2015.

·       Z. Zhao, B. Huang, F. Liu, State estimation in batch process based on two-dimensional state-space model, Industrial & Engineering Chemistry Research, Vol. 52, Issue 50, pp 19573 – 19582, November 2014.

·       C. Li, B. Huang*, D. Zheng, F. Qian*, MIMO Control System Performance Monitoring Based on Dissimilarity Analysis, Industrial & Engineering Chemistry Research, Nov., 2014, 53 (47), pp 18226–18235.

·       C. Li, S. Choudhury, B. Huang*, F. Qian*, Frequency Analysis and Compensation of Valve Stiction in Cascade Control Loops, Journal of Process Control, Volume 24, Issue 11, November 2014, Pages 1747–1760.

·       Y. Guo, Y. Zhao, B. Huang, Development of Soft Sensor by Incorporating the Delayed Infrequent and Irregular Measurements, Journal of Process Control, Volume 24, Issue 11, November 2014, Pages 1733–1739.

·       N. Sammaknejad, B. Huang*, A. Fatehi, Y. Miao, F. Xu, A. Espejo,  Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation, Computers & Chemical Engineering, Volume 71, December 2014, 281-297.

·       L. Liu, B. Huang, S. Dubljevic*, Model Predictive Control of Axial Dispersion Chemical Reactor, Journal of Process Control, Volume 24, Issue 11, pp 1671-1690, November 2014.

·       Y. Lu, B. Huang*, Robust Multiple-model LPV Approach to Nonlinear Process Identification Using Mixture t Distributions, Journal of Process Control, Volume 24, Issue 9, September 2014, Pages 1472–1488.

·       K. Zhang, R. Gonzalez, B. Huang*, G. Ji, An expectation maximization approach to fault diagnosis with missing data, IEEE Transactions on Industrial Electronics, Volume 62, Issue 2, pp 1231-1240, July 2014.

·       Z. Yu, J. Wang*, B. Huang, J. Li, Z. Bi, Performance assessment of industrial linear controllers in univariate control loops for both setpoint tracking and load disturbance rejection, Industrial & Engineering Chemistry Research, Volume 53, Issue 27, pp11050-11060, June 2014.

·       W. Xiong, X. Yang, B. Huang*, B. Xu, Multiple-model Based LPV Time-delay System Identification with Randomly Missing Output Data Using EM Algorithm, Industrial & Engineering Chemistry Research, 2014, 53 (27), pp 11074–11083.

·       Z. Ge, B. Huang*, Nonlinear semi-supervised principal component regression for soft sensor modeling and its mixture form, Journal of Chemometrics, Volume 28, Issue 11, pages 793–804, November 2014.

·       E. Naghoosi, B. Huang*, Automatic detection and frequency estimation of oscillatory variables in the presence of multiple oscillations, Industrial & Engineering Chemistry Research, 53(22), May 2014, 9427-9438.

·       L. Chen, L. Han, B. Huang*, F. Liu, Parameter estimation for a dual-rate system with time delay, ISA Transactions, Volume 53, Issue 5, pp 1368-1376, September 2014.

·       M. Chen, S. Khare, B. Huang*, A unified recursive just-in-time approach with industrial near infrared spectroscopy application, Chemometrics and Intelligent Laboratory System, 135(15), July 2014, 133-140.

·       M. Keshavarz and B. Huang*, "Expectation Maximization Method for Multivariate Change Point Detection in Presence of Unknown and Changing Covariance," Computers & Chemical Engineering, vol. 69, pp. 128-146, Oct. 2014.

·       R. Gonzalez, B. Huang*, Control-loop diagnosis using continuous evidence through kernel density estimation, Journal of Process Control, 24(5), May 2014, 640-651.

·       P. Jagadeesan, B. Huang, S.L. Shah, Recursive constrained state estimation using modified extended Kalman Filter, Computers & Chemical Engineering, 65, June 2014, 9-17.

·       Z. Zhao,  B. Huang, F. Liu, Constrained particle filtering methods for state estimation of nonlinear process, AIChE Journal, 60(6), June. 2014, 2072-2082.

·       S. Khatibisepehr, B. Huang*, S. Khare, E. Domlan, F. Xu, A. Espejo and R. Kadali, "A probabilistic framework for real-time performance assessment of inferential sensors," Control Engineering Practice, vol. 26, pp. 136-150, 2014.

·       A. Tulsyan*, B. Huang, B. Gopaluni, F. Forbes, Performance assessment, diagnosis, and optimal selection of non-linear state filters, Journal of Process Control, 24(2), Feb. 2014, 460-478.

·       Z. Ge, B. Huang*, Z. Song, Mixture semi-supervised principal component regression model and soft sensor application, AIChE J., 60, Feb. 2014, 533-545.

·       M. Keshavarz, B. Huang, Bayesian and Expectation Maximization methods for multivariate change point detection, Computers & Chemical Engineering, 60(10), Jan. 2014, 339-353.

·       Z. Xi, Swanand Khare, A. Cheung, B. Huang, T. Pan, W. Zhang, F. Ibrahim, C. Jin, S. Gabos, Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles, Computational Biology and Chemistry, 49, Apr. 2014, 23-35.

·        L. Wang, B. Huang, Model Predictive Control: Algorithmic Development and Applications, International Journal of Control, 86:8, 2013 1323-1323

·       X. Yang, B. Huang, V. Prasad*, Inequality Constrained Parameter Estimation using Filtering Approaches, Chemical Engineering Science, 106(17), Mar. 2013, 211-221.

·       L. Chen, A. Tulsyan, B. Huang*, F. Liu, Multiple model approach to non-linear system identification with uncertain scheduling variables using EM algorithm, Journal of Process Control, 23, Nov. 2013, 1480-1496.

·       R. Gonzalez, B. Huang*,  Control loop diagnosis from historical data containing ambiguous operating modes: Part 2, information synthesis based on proportional parametrization, Journal of Process Control, 23(10), Nov. 2013, 1441-1454.

·       T. Pan, S. Khare, F. Ackah, B. Huang*, W. Zhang, S. Cabos, C. Jin, M. Stampfl, In-vitro Cytotoxicity Assessment based on KC50 with Real-Time Cell Analyzer (RTCA) Assay, Computational Biology and Chemistry, 47, Dec. 2013, 113-120.

·       Y. Shardt*, B. Huang, Statistical Properties of Signal Entropy for Use in Detecting Changes in Time Series Data, Journal of Chemometrics, 27(11), Nov 2013, 394-405.

·       Y. Guo, B. Huang*, Moving horizon estimation for switching nonlinear systems, Automatica, 49, 3270-3281, 2013.

·       L. Xie, H. Yang, B. Huang*, FIR Model Identification of Multirate Processes with Random Delays Using EM Algorithm, AIChE J., 59, Nov. 2013, 4124-4132.

·       S. Khatibisepehr, B. Huang*, S. Khare, Design of inferential sensors in the process industry: A review of Bayesian methods, Journal of Process Control, 23, Nov 2013, 1575-1596.

·       Z. Zhao, B. Huang*, F. Liu, Parameter estimation in batch process using EM algorithm with particle filter, Computers & Chemical Engineering, 57, October 2013, Pages 159–172, 2013.

·       Y. Shardt*, B. Huang, Data quality assessment of routine operating data for process identification, Computers & Chemical Engineering, 55, Aug 2013, 19-27.

·       M. Olanrewaju, B. Huang*, A moving horizon approach to noncontinuum state estimation, International Journal of Control, 86(6), 2013, 1098-1106.

·       E. Naghoosi, B. Huang*, E. Domlan, R. Kadali, Information transfer methods in causality analysis of process variables with an industrial application, Journal of Process Control, 23, 1296-1305, 2013.

·       R. Gonzalez, B. Huang*, Control loop diagnosis from historical data containing ambiguous operating modes: Part 1, A proportional parameterization approach, Journal of Process Control, 23(4), Apr 2013, 585-597.

·       A. Tulsyan*, B. Huang, B. Gopaluni, F. Forbes, Approximating posterior Cramer-Rao lower bound: Case of hidden states, IEEE Transactions on Aerospace and Electronic Systems, 49(4), Oct 2013, 2478-2495.

·       L. Xie, Y. Zhao, D. Aziz, X. Jin, L. Geng, E. Goberdhansingh, F. Qi, B. Huang*, Soft Sensors for Online Steam Quality Measurements of OTSGs, Journal of Process Control, 23, 990–1000, 2013.

·       M. Chen, S. Khare, B. Huang*, H. Zhang, E. Lau, E. Feng, A recursive wavelength selection strategy to update near infrared spectroscopy model with an industrial application, Industrial & Engineering Chemistry Research, Ind. Eng. Chem. Res. 2013, 52, 7886−7895

·       S. Khatibisepehr, B. Huang*, E. Domlan, E. Naghoosi, Y. Zhao, Y. Miao, X. Shao, S. Khare, M. Keshavarz, E. Feng, F. Xu, A. Espejo, R. Kadali, Soft sensor solutions for control of oil sands processes, Oil Sands Special Issue in Canadian Journal of Chemical Engineering, 91. 1416–1426, 2013.

·       Z. Zhao, B. Huang*, F. Liu, Bayesian method for state estimation of batch process with missing data, Computers & Chemical Engineering, 53, Pages 14–24, 2013.

·       A. Tulsyan*, B. Huang, B. Gopaluni, F. Forbes, On simultaneous on-line state and parameter estimation in nonlinear state-space model, Journal of Process Control, 23, Pages 516–526, 2013.

·       T. Pan, B. Huang*, W. Zhang, S. Gabos, D. Huang, V. Devendran, Cytotoxicity assessment based on the AUC50 using multi-concentration time-dependent cellular response curves (TCRCs), Analytica Chimica Acta, 2013 Feb 18;764:44-52.

·       J. Deng, L. Xie, L. Chen, S. Khatibisepehr, B. Huang*, F. Xu, A. Espejo, Development and industrial application of soft sensors with on-line Bayesian model updating strategy, Journal of Process Control, 23. 317-325, 2013.

·       J. Wang*, B. Huang, S. Lu, Improved DCT-based method for online detection of oscillations in univariate time series, Control Engineering Practice, 21,  Pages 622–630, 2013.

·       S. Khatibisepehr, B. Huang*, A Bayesian Approach to Robust Process Identification with ARX Models, AIChE J., 59, 845—859, 2013.

·       E. Farasat, B. Huang*, Deterministic versus stochastic performance assessment of iterative learning control for batch processes, AIChE J., 59, pages 457–464, February 2013.

·       L. Olivier, B. Huang, I. Craig*, Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill, Journal of Process Control, 22(4), Apr 2012, 710-717.

·       S. Khatibisepehr, B. Huang*, F. Xu, A. Espejo, A Bayesian approach to design of adaptive multi-model inferential sensors with application in oil sand industry, Journal of Process Control, 22, 1913-1929, 2012.

·       A. Narang, A. Benzvi, A. Afacan*, S.L. Shah, D. Sharp, B. Huang , Undergraduate design of experiment laboratory on analysis and optimization of distillation column. Education for Chemical Engineers, Official Journal of the European Federation of Chemical Engineering: Part D. 7, e187-e195, 2012.

·       M. Alemohammad, B. Huang*, Compensation of control valve stiction through controller tuning, Journal of Process Control, 22, 1800– 1819, 2012.

·       J. Xing*, S. Gabos, B. Huang, T. Pan, M. Huang, J. Chen, High-Throughput Quantitative Analysis with Cell Growth Kinetic Curves for Low-Copy Number Mutant Cells Corresponding, Analytical and Bioanalytical Chemistry, Volume 404,  pp 2033-2041, Oct 2012.

·       J. Xing*, L. Zhu, B. Huang, J. Chen, S. Gabos. Microelectronic-sensing Assay to detect presence of Verotoxins in human fecal samples. Journal of Applied Microbiology, 113, pages 429–437, August 2012.

·       T. Pan, B. Huang*, J. Xing, W. Zhang, S. Gabos, J. Chen, Recognition of Chemical Compounds in Contaminated Water using Time-dependent Multiple Dose Cellular Response, Analytica Chimica Acta, 724, 30-39, 2012.

·       Y. Shardt, B. Huang*, Tuning a Soft Sensor’s Bias Update Term Part II: The Closed-Loop Case, Industrial & Engineering Chemistry Research, 51 (13), pp 4968–4981, 2012.

·       Y. Shardt, B. Huang*, Tuning a Soft Sensor’s Bias Update Term Part I: The Open-Loop Case, Industrial & Engineering Chemistry Research, 51 (13), pp 4958–4967, 2012.

·       X. Shao, F. Xu, B. Huang*, A. Espejo, Estimation of Bitumen froth quality using Bayesian information synthesis: An application to froth transportation process, Adconip special issue in Canadian Journal of Chemical Engineering, 90, 1393 – 1399, 2012.

·       J. Deng, B. Huang*, Identification of Nonlinear Parameter Varying Systems with Missing Output Data, AIChE J., 58, 3454 – 3467, 2012.

·       Z. Zhao, X. Shao, B. Huang*, F. Liu, On-line estimation of glucose and biomass concentration in batch fermentation process using particle filter with constraint, Adconip special issue in Asian Pacific Journal of Chemical Engineering, 7(5), 678-686, 2102.

·       J. Xin, S. Wang, B. Huang*, F. Forbes, Multiple Model Based LPV Soft Sensor Development with Irregular/Missing Process Output Measurement, Control Engineering Practice, 20, 165-172, 2012.

·       A. Tulsyan*, F. Forbes, B. Huang, Designing priors for robust Bayesian optimal experimental design, Journal of Process Control,  22, 450–462, 2012.

·       H. Jiang, S.L. Shah*, B. Huang, R. Patwardhan, W. Bruce, F. Szeto, Model Analysis and Performance Analysis of Two Industrial MPCs, Control Engineering Practice, 20, 219-235, 2012.

·       R. Gonzalez, B. Huang*, F. Xu, A. Espejo, Dynamic Bayesian approach to gross error detection and compensation with application toward an oil sands process, Chemical Engineering Science, 67, 44-56, 2012.

·       X. Jin, B. Huang*, Identification of switched Markov autoregressive eXogenous systems with hidden switching state, Automatica, 48, 436-441, 2012.

·       Y. Shardt, Y. Zhao, F. Qi, K. Lee, X. Yu, B. Huang*, S.L. Shah, Determining the State of a Process Control System: Current Trends and Future Challenges, Invited Feature Articles on Process Control, Canadian Journal of Chemical Engineering, 90, 217-245, 2012.

·       M. Olanrewaju, B. Huang*, A. Afacan, Development of a simultaneous continuum and noncontinuum states estimator with application on a distillation process, AIChE J., 58, 480-492, 2012.

·       Y. Zhao, B. Huang*, H. Su, J. Chu, Prediction error method for identification of LPV models, Journal of Process Control, 22, 180-193,  2011.

·       B. Huang*, Y. Qi, M. Murshed, Solid oxide fuel cell: Perspective of dynamic modelling and control, Journal of Process Control 21, 1426-1437, 2011.

·       Y. Shardt, B. Huang*, Closed-loop identification with routine operating data: Effect of time delay and sampling time, Journal of Process Control, 21, 997-1010, 2011.

·       Z. Yu, J. Wang*, B. Huang, Z. Bi, Performance assessment of PID control loops subject to setpoint changes, Journal of Process Control, 21, 1164-1171, 2011.

·       F. Qi and B. Huang*, Estimation of Statistical Distribution for Control Valve Stiction Quantification, Journal of Process Control, 21, 1208-1216, 2011.

·       R. Gonzales, B. Huang*, F. Xu, A. Espejo, Estimation of Instrument Variance and Bias Using Bayesian Methods, Industrial & Engineering Chemistry Research, 50, 6229-6239, 2011.

·       Y. Shardt, B. Huang*, Closed-loop identification condition for ARMAX models using routine operating data, Automatica, 47, 1534-1537,  2011.

·       W. Roa*, X. Yang, L. Guo, B. Huang, S. Khatibisepehr, S. Gabos, J. Chen, J. Xing, Real-time cell-impedance sensing assay as an alternative to clonogenic assay in evaluating cancer radiotherapy, Analytical and Bioanalytical Chemistry, 400, 2003-2011, 2011.

·       B. Ding*, B. Huang, F. Xu, Dynamic Output Feedback Robust Model Predictive Control, International Journal of Systems Science, 42, 1669-1682, 2011.

·       Y. Zhu, B. Huang*, Receding-horizon Experiment Design and Parameter Estimation in the Presence of Poor Initial Conditions, AIChE J. 57, 2808-2820, 2011.

·       M. Alemohammad, B. Huang, Frequency analysis and experimental validation for stiction phenomenon in multi-loop processes, Journal of Process Control 21, 437-447, 2011.

·       S. Khatibisepehr, B. Huang, F. Ibrahim, J.Z. Xing, W. Roa, Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources, Computational Biology and Chemistry 35, 69-80, 2011.

·       F. Qi and B. Huang, Bayesian Methods for Control Loop Diagnosis in Presence of Temporal Dependent Evidences, Automatica 47, 1349-1356, 2011.

·       M. Murshed, B. Huang, K. Nanderkumar, Monitoring of Solid Oxide Fuel Cell Systems, Invited Article, Asian Pacific Journal of Chemical Engineering 6, 204-219, 2011.

·       H.E. Mazin, W. Xu, B. Huang, Determining the Harmonic Impacts of Multiple Harmonic-Producing Loads, IEEE Transactions on Power Delivery 26, 1187-1195, 2011.

·       X. Jin, B. Huang, D. Shook, Multiple Model LPV Approach to Nonlinear Process Identification with EM Algorithm Journal of Process Control 21, 182-193, 2011.

·       E. Domlan, B. Huang, F. Xu, A. Espejo, A decoupled multiple model approach for soft sensor design, Control Engineering Practice 19, 126-134, 2011.

·       X. Shao, B. Huang, J. Lee, F. Xu, and A. Espejo, Bayesian methods for multirate data synthesis and model calibration, AIChE J. 57, 1514-1525, 2011.

·       R. Gonzalez, B. Huang, F. Xu, A. Espejo, J. Amalraj, W. Lam, Reconciling continuum and non-continuum data with industrial application, Computers & Chemical Engineering 35, 519-529, 2011.

·       C. Liu, B. Huang, Q. Wang, Control Performance Assessment Subject to Multi-Objective User-Specified Performance Characteristics, IEEE Transactions on Control Systems Technology 19, 682-691, 2011.

·       N. Pour, B. Huang, S.L. Shah, Subspace approach to identification of step response model from closed-loop data, Industrial & Engineering Chemistry Research 49, 8558-8567, 2010.

·       F. Qi and B. Huang, Dynamic Bayesian Approach for Control Loop Diagnosis with Underlying Mode Dependency, Industrial & Engineering Chemistry Research 49, 8613-8623, 2010.

·       N. Danesh Pour, B. Huang, S.L. Shah, Performance assessment of advanced supervisory-regulatory control systems with subspace LQG, Automatica 46, 1363-1368, 2010.

·       F. Ibrahim, B. Huang, J. Xing, and S. Gabos, Early determination of toxicant concentration in water supply using MHE, Water Research 44, 3252-3260,  2010.

·       X. Li, J. Wang, B. Huang, S. Lu, The DCT-based oscillation detection method for a single time series, Journal of Process Control 5, 609-617, 2010.

·       X. Shao, B. Huang, J.M. Lee, Constrained Bayesian State Estimation – a Comparative Study and a New Particle Filter Based Approach, Journal of Process Control 20, 143-157, 2010.

·       M. Olanrewaju, B. Huang, A. Afacan, Online Composition Estimation and Experiment Validation of Distillation Processes with Switching Dynamics, Chemical Engineering Science 65, 1597-1608, 2010.

·       Jin, X, B. Huang, Robust Identification of Piecewise/Switching Autoregressive eXogenous Process, AIChE J. 56, 1829 – 1844, 2010.

·       Zhao Y., J. Chu, H. Su, B. Huang, Multi-step prediction error approaches for controller performance monitoring,  Control Engineering Practice 18, 1-12, 2010.

·       Murshed M., B. Huang, K. Nandakumar, Estimation and Control of Solid Oxide Fuel Cell System, Computers and Chemical Engineering 34, 96-111, 2010.

·       F. Qi, B. Huang, A Bayesian Approach for Control Loop Diagnosis with Missing Data, AIChE J. 56, 179-195, 2010.

·       Lee, K., E. Tamayo, B. Huang, Industrial Implementation of Controller Performance Analysis Technology, Control Engineering Practice 18, 147-158, 20010.

·       N. Pour, B. Huang, S.L. Shah, Consistency of Noise Covariance Estimation in Joint Input-Output  Closed-loop Subspace Identification with Application in LQG Benchmarking, Journal of Process Control 19, 1649-1657, 2009.

·       Ibrahim, F., B. Huang, J. Xing, W. Roa, S. Gabos, Effects of Estrogen Contamination on Human Cells: Modeling and Prediction based on Michaelis-Menten Kinetics, Journal of Water Resources and Protection 1, 336-344, 2009.

·       S. X. Ding, P. Zhang, A. Naik, E. L. Ding, B. Huang, Subspace method aided data-driven design for fault detection and isolation systems, Journal of Process Control 19, 1496-1510, 2009.

·       Y. Zhao, Y. Gu, H. Su, B. Huang, Generalized Prediction Error Method for MPC Performance Monitoring and Industrial Applications, Invited Article, International Journal of Process Systems Engineering 2, 1-15, 2009.

·       K. Lee, I Boiko, B. Huang, Implementation of FIR Control for H-infinity Output Feedback Stabilization of Linear Systems, International Journal of Control 82, 2335-2346, 2009.

·       E. Domlan, B. Huang, Jose Ragot, and Didier Maquin, Robust Identification of Switched Regression Models, IET Control Theory & Applications 3, 1578-1590, 2009.

·       S. Akande, B. Huang, K. Lee, MPC constraint analysis – Bayesian approach via a continuous-valued profit function, Industrial & Engineering Chemistry Research 48, 3944-3954, 2009.

·       B. Jayasankar, A. Ben-Zvi, B. Huang, Identifiability and estimability study for a dynamic solid oxide fuel cell model, Computer & Chemical Engineering 33, 484-492, 2009.

·       S. Bhat, B. Huang, Preferential Crystallization: Multi-objective Optimization Framework, AIChE Journal 55, 383-395, 2009.

·       S. Ahmed, B. Huang, S.L. Shah, Validation of continuous-time models with delay, Chemical Engineering Science 64, 443-454, 2009.

·       K. Lee, B. Huang, Structured Model Reduction Algorithms for Markovian Jump Linear Discrete Systems via LMI-based Optimization, International J. of Systems Science 40, 685-693, 2009.

·       H. Jiang, B. Huang, S.L. Shah, Control relevant closed-loop model validation based on the two-model divergence method, Journal of Process Control 19, 644-655, 2009.

·       J. Wang, A. Sano, T. Chen, B. Huang, Identification of Hammerstein Systems Without explicit parameterization of nonlinearity, International Journal of Control 82, 937-952, 2009.

·       K. Lee, B. Huang, Robust H2 optimal filtering for continuous-time stochastic systems with polytopic parameter uncertainty, Automatica 44, 2686-2690, 2009.

·       H. Jiang, S.L. Shah, B. Huang, Control relevant on-line model validation criterion based on robust stability conditions, Canadian Journal of Chemical Engineering, 86(5), 893-904, 2008.

·       S. Yildiz, F. Forbes, B. Huang, Y. Zhang, F. Wang, V. Vaculik, M. Dudzic, Dynamic modeling and simulation of a hot strip finishing mill, Applied Mathematical Modeling, 33(7), 3208-3225, July 2008.

·       C. Zhao, Y. Zhao, H. Su, B. Huang, Economic performance assessment of advanced process control with LQG benchmarking, Journal of Process Control, 19(4), 557-569, 2008.

·       S. Khatibisepehr, B. Huang, Dealing with Irregular Data in Soft Sensors: Bayesian Method and Comparative Study, Industrial & Engineering Chemistry Research, 47(22), 8713-8723, 2008.

·       F. Xu, B. Huang, Performance assessment of MIMO control systems with time variant disturbance dynamics, Computers & Chemical Engineering, 32(9), 2144-2154, Sept. 2008.

·       B. Huang, Bayesian methods for control loop monitoring and diagnosis, Journal of Process Control, 18, 829-838. 2008.

·       K. Lee, B. Huang, E.C. Tamayo, Sensitivity Analysis for Constraint and Variability Tuning in Performance Assessment of Industrial MPC, Control Engineering Practice, 16, Oct. 1195-1215, 2008.

·       B. Huang, F. Qi, Book review for Process Control Performance Assessment: From Theory to Implementation, Edited by A.W. Ordys, D. Uduehi, and M.A. Johnson, (London, U.K.: Springer Verlag, 2007), IEEE Transactions on Automatic Control, 53, 1083-1084, 2008.

·       Z. Ren, B. Huang, Control of combined integrating systems with industrial application, International Journal of Process System Engineering, 1(1), 77-86, 2008.

·       Y. Qi, B. Huang, J. Luo, 1-D Dynamic Modeling of SOFC with Analytical  Solution for Reacting Gas Flow Problem, AIChE J., 54(6), 1537-1553, 2008.

·       B. Ding, B. Huang, Reformulation of LMI-based stabilization conditions for nonlinear systems in Takagi-Sugeno's form, International Journal of Systems Science, 39(5), 487-496, 2008.

·       N. Agarwal, B. Huang, E.C. Tamayo, Assessing MPC performance Part 1: Probabilistic approach for constraint analysis, Industrial & Engineering Chemistry Research, 46, 8101-8111, 2007.

·       N. Agarwal, B. Huang, E.C. Tamayo, Assessing MPC performance Part II: Bayesian approach for  constraint tuning, Industrial & Engineering Chemistry Research, 46, 8112-8119, 2007

·       S. Ahmed, B. Huang, S.L. Shah, Identification from step responses with transient initial conditions, Journal of Process Control, 18, 121-130, 2008.

·       S.K. Yildiz, B. Huang, F. Forbes, Dynamics and Variance Control of Hot Mill Loopers, Control Engineering Practice, 16, 89-100, 2008.

·       B. Ding and B. Huang, Output feedback model predictive control for nonlinear systems represented by Hammerstein-Weiner model, IET Control Theory & Applications (formerly IEE Proceedings Control Theory & Applications), 1(5), 1302-1310, 2007.

·       B. Ding and B. Huang, New formulation of robust MPC by incorporating off-line approach with on-line optimization, International Journal of Systems Science, 38, 519-529, 2007.

·       B. Ding and B. Huang, Comments on A feedback min-max MPC algorithm for LPV systems subject to bounded rates of change of parameters, IEEE Trans. on Automatic Control, 52, 970-970, 2007.

·       Xu, F., B. Huang, S. Akande, Performance assessment of model predictive control for variability and constraint tuning, Industrial & Engineering Chemistry Research, 461208-1219, 2007.

·         Wang, J., T. Chen, B. Huang, FIR modeling for error-in-variable/closed-loop systems by exploiting cyclo-stationarity, International Journal of Adaptive Control and Signal Processing, 21, 603-622, 2007.

·       Ahmed, S,  B. Huang, S.L. Shah, Novel Identification Method from Step Response, Control Engineering Practice, 15, 545-556, 2007.

·       Murshed M., B. Huang, K. Nandakumar, Control relevant modeling of planar solid oxide fuel cell system, Journal of Power Sources, 163, 830-845, 2007.

·       Wang, X., B. Huang, T. Chen, Data-driven predictive control for solid oxide fuel cells, Journal of Process Control, 17, 103-114, 2007.

·       Wang, J., A. Sano, D. Shook, T. Chen, B. Huang, A Blind Approach to Closed-Loop Identification of Hammerstein Systems, International Journal of Control, 80, 302-313, 2007.

·       Ding, B., B. Huang, Constrained Robust Model Predictive Control for Time-delay Systems with Polytopic Description, International Journal of Control, 80, 509-522, 2007.

·       Liu, M., Q.G. Wang, B. Huang, C.C. Hang, Improved identification of continuous-time delay processes from piecewise step tests, Journal of Process Control, 17, 51-57, 2007.

·       Wang, X., B. Huang, T. Chen, Multirate minimum variance control design and control performance assessment: A data-driven subspace approach, IEEE Trans Control System Technology, 15, 65-74, 2007.

·       Qi, Y., B. Huang, J. Luo, Dynamic modeling of a finite volume of solid oxide fuel cell: the effect of transport dynamics, Chemical Engineering Science, 61, 6057-6076, 2006.

·       Du. H., J. Lam, B. Huang, Constrained H2 approximation of multiple input-output delay systems using genetic algorithm, ISA Transactions, 46, 211-221, 2007.

·       Huang, B. and J. Xing, Dynamic modeling and prediction of cytotoxicity on microelectronic cell sensor array, Canadian Journal of Chemical Engineering, 84, 393-405, 2006. 

·       Xu, F., K.H. Lee, and B. Huang, Monitoring control performance via structured closed-loop response subject to output variance/covariance upper bound, Journal of Process Control, 16, 971-984, 2006.

·       Zhang, L., B. Huang, T. Chen, Model Reduction of Uncertain Systems with Multiplicative Noise Based on Balancing, SIAM Journal on Control and Optimization, 45, 1541-1560, 2006.

·       Xu, F. and B. Huang, Performance Monitoring of SISO Control Loops subject to LTV Disturbance Dynamics: An Improved LTI Benchmark, Journal of Process Control, 16, 567-579, 2006.

·       Huang, B., S.X. Ding, and N. Thornhill, Alternative Solutions to Multivariate Feedback Control Performance Assessment Problems, Journal of Process Control, 16, 457-471, 2006.

·       Hu, L. P. Shi, and B. Huang, Stochastic Stability and Robust Control for Sampled-Data Systems with Markovian Jump Parameters, Journal of Mathematical Analysis and Applications, 313, 504-517, 2006.

·       Ahmed, S., B. Huang, and S. L. Shah, Parameter and delay estimation of continuous-time models using a linear filter, Journal of Process Control, 16, 323-331, 2006.

·       Zhang, L., Y. Shi, T. Chen, B. Huang, A new method for stabilization of networked control systems with random delays, IEEE Trans. Automatic Control, 50, 1177-1181, 2005

·       Qi, Y, Huang, B., Chuang, K., Dynamic Modeling of Solid Oxide Fuel Cell: The Effect of Diffusion and Inherent Impedance, Journal of Power Source, 150, 32-47, 2005.

·       Wang, J., Chen, T., Huang, B., Cyclo-period estimation for discrete-time cyclostationary signals, IEEE Trans. Signal Processing, 54, 83-94, 2006.

·       Wang, X., L. Zhang, T. Chen, B. Huang, Minimum variance in fast, slow and dual rate control loops, International Journal of Adaptive Control and Signal Processing, 18, 575-600, 2005.

·       Hu, L., P. Shi, B. Huang, Hoo control for sampled-data linear systems with two Markov processes, Optimal Control Applications and Methods, 26, 291-306, 2005.

·       Huang, X., B. Huang, Fixed-order controller design for linear time-invariant descriptor systems: an BMI approach, International Journal of System Science, 36(1), 13-18, 2005.

·       Gao. J., B. Huang, Delay dependent robust guaranteed cost control of uncertain linear system with state and input delay, International Journal of System Science, 36(1), 19-26, 2005.

·       Hu, L., B. Huang, Multirate Robust Digital Control for Fuzzy Systems with Periodic Lyapunov Function, IEEE Transactions on Fuzzy Systems, 13, 436-443, 2005.

·       Huang, B., S.X. Ding, N. Thornhill, Practical solutions to multivariate feedback control performance assessment problem: reduced a priori knowledge of interactor matrix, Journal of Process Control, 15, 573-583, 2005.

·       Wang, M., N.F. Thornhill, and B. Huang, Closed loop identification with a quantizer, Journal of Process Control, 15, 729-740, 2005.

·       Wang, J., Chen, T., Huang, B., On Spectral Theory of Cyclostationary Signals in Multirate Systems, IEEE Trans. Signal Processing, 53, 2421-2431, 2005.

·       Huang, B., S.X. Ding, J. Qin, Closed-loop subspace identification: an orthogonal projection approach, Journal of Process Control, 15, 53-66, 2005.

·       Ding, S.X., P. Zhang, D. Heyden, B. Huang, E.L. Ding, System identification aided design of observer-based fault detection systems, Automatisierungstechnik, 52, 2004, 388-396 (in German).

·       Olaleye, F., B. Huang, and E. Tamayo,  Performance assessment of control loops with time varying disturbance dynamics, Journal of Process Control, 14, 2004, 867-877. 

·       Zhang, L., and B. Huang, H2 approximation of multiple input/output delay systems, Journal of Process Control, 14, 627-634, 2004.

·       Kamrunnahar, M., D.G. Fisher, and B. Huang, Performance Assessment and Robustness Analysis Using an ARMarkov Approach, Journal of Process Control, 14, 2004, 915-925.

·       Zhang, L., Huang, B., Robust Model Predictive Control of Singular Systems, IEEE Trans. Automatic Control, 49, 2004, 1000-1006.

·       Hu, L., Huang, B., Cao, Y., Robust Digital Model Predictive Control for Linear Uncertain Systems with Saturations, IEEE Trans. Automatic Control, 49, 2004, 792-796.

·       Wang, J., Chen, T., Huang, B., Closed-loop identification via output fast sampling, Journal of Process Control, 14, 555-570, 2004.

·       Olaleye, F., Huang, B., and Tamayo, E., Industrial applications of feedback controller performance assessment of time-variant processes, Industrial and Engineering Chemistry Research, 43, 2004, 597-607.

·       Olaleye, F., Huang, B., and Tamayo, E., Feedforward and feedback controller performance assessment of linear time variant processes, Industrial and Engineering Chemistry Research, 43, 2004, 589-596.

·       Huang, X., and Huang, B., Multiloop decentralized PID control based on covariance control criteria: an LMI approach, ISA Transaction, 43(1), 49-59, 2004.

·       Huang, X., Zhang, L., Huang, B., “Stochastic LQ Control with Generalized LQ Constraints”,  special issue of Dynamics of Continuous, Discrete, and Impulsive Systems, 2004, 141-152.

·       Huang, B., A Pragmatic Approach towards assessment of control loop performance, Journal of Adaptive Control and Signal Processing, 17, 2003, 589-608.

·       Thornhill, N.F., Shah, S.L. and Huang, B., Controller performance assessment in set point tracking and regulatory control, Journal of Adaptive Control and Signal Processing, 17, 2003, 709-727.

·       Cheng, L., Kwok, E, Huang, B., Closed-loop Fault Detection Using Local Approach,  Canadian Journal of Chemical Engineering, 81(5), 1101-1108, 2003.

·       Murshed, M., Huang, B., Nandakumar, K., Control of Chaos in Convective Loop System, Nonlinear Dynamics and Systems Theory, 2003, 203-226.

·       Huang, B., Malhotra A., and Tamayo, E.C., Model Predictive Control Relevant Identification and Validation, Chemical Engineering Sciences, 58(11), 2003, 2389-2401

·       Wang, J., Chen, T., and Huang, B., Multirate Sampled-Data Systems:  Computing Fast-Rate Models, Journal of Process Control, 14, 2003, 79-88.

·       Gao, J., Patwardhan, R., Akamatsu, K., Hashimoto, Y., Emonto, G., S.L. Shah, B. Huang, Performance Evaluation of two Industrial MPC Controllers, Control Engineering Practice (“Award Winning Applications” special issue), 11, 2003, 1371-1387

·       Zhang, L., Huang, B., Lam, J., Hoo Model Reduction of Markovian Jump Linear Systems, Systems and Control Letters, 50(2), 2003, 103-118

·       Cheng, L., K.E. Kwok, B. Huang, and P. Li, Improved threshold for the local approach in detecting faults and its application in paper machine control, Industrial and Engineering Chemistry Research, 42(9), 2003, 1870-1878.

·       Zhang, L., B. Huang, J. Lam, LMI synthesis of H2 and mixed H2/Hoo controllers for singular systems, IEEE Transactions on Circuits and Systems II, Vol. 50, No. 9, 2003, pp. 615-626.

·       Zhang, L., J. Lam, B. Huang, G.H. Yang, On Gramians and Balanced Truncation of Discrete-Time Bilinear Systems, International Journal of Control, 76(4), 414-427, 2003.

·       Kadali, R., B. Huang, A. Rossitor, A data driven subspace approach to predictive controller design, Control Engineering Practice, 11, 261-278, 2003.

·       Zhang, L., B. Huang, J. Lam, Robust guaranteed cost control of descriptor systems, Dynamics of Continuous, Discrete, and Impulsive Systems, 10, 2003, 633-646.

·       Thornhill, N. F., B. Huang, and H. Zhang, Detection of multiple oscillations in control loops, Journal of Process Control, 13(1), 91-100, 2003.

·       Wan, S., B. Huang, Robust performance assessment of feedback control systems, Automatica, 38, 33-46, 2002.

·       Thornhill, N.F., Shah, S.L., Huang, B., and Vishnubhotla, A., Spectral Principal Component Analysis of Dynamic Process Data, Control Engineering Practice, 10(8), 2002.

·       Kamrunnahar, M., D. G. Fisher and B. Huang, Model Predictive Control Using an Extended ARMarkov Model, Journal of Process Control, 12, 123-129, 2002.

·       R. Kadali and B. Huang, Estimation of Dynamic Matrix and Noise Model for Model Predictive Control Using Closed Loop Data, Industrial and Engineering Chemistry Research, 41(4), 842-852, 2002.

·       R. Kadali and B. Huang, Controller Performance Analysis with LQG-Benchmark Obtained under Closed-loop Conditions, ISA Trans., 41, 521-537, 2002.

·       Huang, X., B. Huang, An BMI Approach towards Single and Simultaneous Static Output Stabilization of Continuous-time Descriptor Systems, Dynamics of Continuous, Discrete, and Impulsive Systems, 9, 71-83, 2002.

·       Huang, B. Minimum Variance Control and Performance Assessment of Time Variant Processes, Journal of Process Control, 12, 707-719, 2002.

·       Malhotra, A., B. Huang, “Detection of Abrupt Change and Applications in Sensor Decalibration Monitoring”, ISA Transactions, 41(2), 155-156, 2002.

·       Huang, B., On-line closed-loop model validation and detection of abrupt parameter changes, Journal of Process Control, 11(6), 699-715, 2001.

·       Gao, J., B. Huang and Z. Wang, Robust H-infinity Control of Uncertain Linear Jump System with Time-delay, Automatica, 37(7), 1141-1146, 2001.

·       Wang, Z, B. Huang and H. Unbehauen, Robust Observer Design of Linear Time-Delay Systems with Parametric Uncertainty - the Continuous-time Case, Systems and Control Letters, 42(4), 303-312, 2001.

·       Gao, J., B. Huang, Z. Wang, D.G. Fisher, Robust Reliable Control for a Class of Uncertain Nonlinear Systems with Time-varying Multi-state Time Delays, International Journal of Systems Science, 32(7), 817-824, 2001.

·       Wan, S., B. Huang, Gap Metric on the Subgraphs of Systems and Robustness Problems IEEE Transaction on Automatic Control, 45(8), 1522-1526, 2000.

·       Wang, Z. and B. Huang, and K.J. Burnham, Stochastic Reliable Control of a Class of Uncertain Time-delay Systems with Unknown Nonlinearities, IEEE Transactions on Circuits and Systems,  646-650, 2000.

·       Huang, B., Model Validation in the Presence of Time-variant Disturbance Dynamics, Chemical Engineering Science, 55, 4583-4595, 2000.

·       Wang, Z., B. Huang and P. Huo, Sampled-data filtering with error covariance assignment, IEEE Transactions on Signal Processing, 48(8), 2463-2467, 2000.

·       Huang, B., Detection of Abrupt Changes of Total Least Squares Models and Application in Fault Detection, IEEE Trans. on Control System Technology, 9(2), 357-367, 2001.

·       Wang, Z. and B. Huang, Robust H-2/H-infinity filtering for linear systems with error variance constraints, IEEE Transactions on Signal Processing, 48(8), 2463-2467, 2000.

·       Huang, B., R. Kadali, X. Zhao, E.C. Tamayo, and A. Hanafi, An Investigation into the Poor Performance of a Model Predictive Control System on an Industrial CGO Coker, Control Engineering Practice, 8(6), 619-631, 2000.

·       M. Kamrunnahar, B. Huang, and D.G. Fisher, Estimation of Markov Parameters and Time-Delay/Interactor Matrix, Chemical Engineering Science, 55, 3353-3363, 2000.

·       Huang, B. and Edgar C. Tamayo, “Model Validation for Industrial Model Predictive Control Systems”, Chemical Engineering Science, 55(12) pp 2315-2327, 2000.

·       Huang, B., “Process Identification Based on Last Principal Component Analysis”, Journal of Process Control, 11, 19-33, 2001.

·       Huang, B., S.L. Shah, and R. Miller, “Feedforward Plus Feedback Controller Performance Assessment of MIMO Systems”, IEEE Transaction on Control System Technology, 8(3), 580-587, 2000.

·       Huang, B, “Performance Assessment of Processes with Abrupt Changes of Disturbances”, Canadian Journal of Chemical Engineering, 77(5), pp 1044-1054, 1999.

·       Wang Z., B. Huang, and H. Unbehauen, “Robust Reliable Control for a Class of Uncertain Nonlinear State delayed Systems”, Automatica, pp. 955-963, 35(5), 1999.

·       Wang Z., B. Huang, and H. Unbehauen, “Robust  Observer Design of Linear State Delayed Systems with Parametric Uncertainty: the Discrete-time Case”, Automatica, 35(6), 1999.

·       Huang, B. and S.L. Shah, “Practical Issues in Multivariable Feedback Control Performance Assessment”, Journal of Process Control, 8, pp. 421-430, 1998.

·       Huang, B., S.L. Shah, and E.Z. Kwok, “Good, Bad or Optimal? Performance Assessment of Multivariable Process”, Automatica, 33(6), pp. 1175-1183, 1997.

·       Huang, B., and S.L. Shah, “The Role of Unitary Interactor Matrix in Explicit Solution of LQ Control Problem”, Automatica, 33(11), pp. 2071-2075, 1997.

·       Huang, B., S.L. Shah, E.Z. Kwok, and J. Zurcher, “Performance Assessment of Multivariate Control Loops on a Paper-Machine Headbox”, Canadian Journal of Chemical Engineering, 75, February, pp. 134-142, 1997.

·       Huang, B, S.L. Shah, and H. Fujii, “The Unitary Interactor Matrix and Its Estimation from Closed-Loop Data”, Journal of Process Control. 7(3), pp. 195-207, 1997.

·       Huang, B., and S.L. Shah, “Closed-loop Identification: A two step approach”, Journal of Process Control, 7(6), pp. 425-438, 1997.

 

 

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