Wee C. Wong, Ph.D.
Affiliations: | 2009 | Georgia Institute of Technology, Atlanta, GA |
Area:
System Science Engineering, Chemical EngineeringGoogle:
"Wee Wong"Parents
Sign in to add mentorJay H. Lee | grad student | 2009 | Georgia Tech | |
(Estimation and control of jump stochastic systems.) |
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Publications
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Chen S, Kumar A, Wong WC, et al. (2019) Hydrogen value chain and fuel cells within hybrid renewable energy systems: Advanced operation and control strategies Applied Energy. 321-337 |
Wong WC, Lee JH. (2011) Postdecision-State-Based Approximate Dynamic Programming for Robust Predictive Control of Constrained Stochastic Processes Industrial & Engineering Chemistry Research. 50: 1389-1399 |
Lee JH, Wong WC. (2011) Improved disturbance and fault signal modeling via hidden Markov models 2011 International Symposium On Advanced Control of Industrial Processes, Adconip 2011. 161-168 |
Wong WC, Lee JH. (2010) Fault Detection and Diagnosis Using Hidden Markov Disturbance Models Industrial & Engineering Chemistry Research. 49: 7901-7908 |
Wong WC, Song HS, Lee JH, et al. (2010) Hybrid cybernetic model-based simulation of continuous production of lignocellulosic ethanol: Rejecting abruptly changing feed conditions Control Engineering Practice. 18: 177-189 |
Wong WC, Lee J. (2010) A reinforcement learning‐based scheme for direct adaptive optimal control of linear stochastic systems Optimal Control Applications & Methods. 31: 365-374 |
Wong WC, Lee JH. (2009) Fault Detection in Process Systems using Hidden Markov Disturbance Models Ifac Proceedings Volumes. 42: 291-296 |
Lee JH, Wong WC. (2009) Approximate dynamic programming approach for process control Ifac Proceedings Volumes. 42: 26-35 |
Wong WC, Lee JH. (2009) Realistic disturbance modeling using Hidden Markov Models: Applications in model-based process control Journal of Process Control. 19: 1438-1450 |
Wong WC, Lee J. (2008) A hidden Markov disturbance model for offset-free linear model predictive control Ifac Proceedings Volumes (Ifac-Papersonline). 17 |