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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 Book 4 Homepage Available
from Wiley, Amazon.com,
Amazon.ca,
Ebook
from Wiley Book 3 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 1 Homepage Books
Book
chapters
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. Consensus‐based approach for parameter and state
estimation of agro‐hydrological
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, 46，1208-1219,
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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