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Wee Chin Wong
Wee Chin Wong
Singapore Institute of Technology
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturing
WC Wong, E Chee, J Li, X Wang
Mathematics 6 (11), 242, 2018
1302018
Approximate dynamic programming approach for process control
JH Lee, W Wong
Journal of Process Control 20 (9), 1038-1048, 2010
672010
Hydrogen value chain and fuel cells within hybrid renewable energy systems: Advanced operation and control strategies
S Chen, A Kumar, WC Wong, MS Chiu, X Wang
Applied Energy 233, 321-337, 2019
632019
Realistic disturbance modeling using hidden Markov models: applications in model-based process control
WC Wong, JH Lee
Journal of Process Control 19 (9), 1438-1450, 2009
232009
Fault detection and diagnosis using hidden markov disturbance models
WC Wong, JH Lee
Industrial & Engineering Chemistry Research 49 (17), 7901-7908, 2010
192010
A reinforcement learning‐based scheme for direct adaptive optimal control of linear stochastic systems
WC Wong, JH Lee
Optimal Control Applications and Methods 31 (4), 365-374, 2010
152010
Hybrid cybernetic model-based simulation of continuous production of lignocellulosic ethanol: Rejecting abruptly changing feed conditions
WC Wong, HS Song, JH Lee, D Ramkrishna
Control engineering practice 18 (2), 177-189, 2010
152010
An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly …
E Chee, WC Wong, X Wang
Frontiers of Chemical Science and Engineering 16 (2), 237-250, 2022
142022
Postdecision-state-based approximate dynamic programming for robust predictive control of constrained stochastic processes
WC Wong, JH Lee
Industrial & Engineering Chemistry Research 50 (3), 1389-1399, 2011
112011
A reinforcement learning-based scheme for adaptive optimal control of linear stochastic systems
WC Wong, JH Lee
2008 American Control Conference, 57-62, 2008
82008
Disturbance modeling for process control via hidden markov models
WC Wong, JH Lee
IFAC Proceedings Volumes 40 (5), 233-238, 2007
62007
Fault Detection in Process Systems using Hidden Markov Disturbance Models
WC Wong, JH Lee
IFAC Proceedings Volumes 42 (11), 291-296, 2009
42009
Approximate dynamic programming approach for process control
JH Lee, WC Wong
IFAC Proceedings Volumes 42 (11), 26-35, 2009
32009
Estimation and control of jump stochastic systems
WC Wong
Georgia Institute of Technology, 2009
22009
Improved disturbance and fault signal modeling via Hidden Markov Models
JH Lee, WC Wong
2011 International Symposium on Advanced Control of Industrial Processes …, 2011
2011
A Hidden Markov disturbance model for Offset-free linear model predictive control
WC Wong, JH Lee
IFAC Proceedings Volumes 41 (2), 1940-1945, 2008
2008
Exploring The Q-Learning Approach For Direct Controller Synthesis
WC Wong, JH Lee
The 2007 Annual Meeting, 2007
2007
Disturbance Modeling Via Hidden Markov Techniques-an Extension
WC Wong, JH Lee
The 2006 Annual Meeting, 2006
2006
A Hidden Markov Model Based Approach to Process Identification and Estimation
WC Wong, JH Lee
The 2005 Annual Meeting, 2005
2005
Use of Post-Decision-State Value Function for Control of Constrained Stochastic Systems
WC Wong
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