scholarly journals Machine learning modeling and predictive control of nonlinear processes using noisy data

AIChE Journal ◽  
2021 ◽  
Author(s):  
Zhe Wu ◽  
David Rincon ◽  
Junwei Luo ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
Predictive Control ◽  
Noisy Data ◽  
Nonlinear Processes

scholarly journals Machine-learning-based state estimation and predictive control of nonlinear processes

2021 ◽  
Vol 167 ◽  
pp. 268-280
Author(s):  
Mohammed S. Alhajeri ◽  
Zhe Wu ◽  
David Rincon ◽  
Fahad Albalawi ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
State Estimation ◽  
Predictive Control ◽  
Nonlinear Processes

Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes

2019 ◽  
Vol 59 (6) ◽  
pp. 2275-2290 ◽  
Author(s):  
Zhe Wu ◽  
David Rincon ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Control ◽  
Nonlinear Processes

Machine learning‐based predictive control of nonlinear processes. Part I: Theory

AIChE Journal ◽  
2019 ◽  
Vol 65 (11) ◽  
Author(s):  
Zhe Wu ◽  
Anh Tran ◽  
David Rincon ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
Predictive Control ◽  
Nonlinear Processes

scholarly journals Co-Teaching Approach to Machine Learning-based Predictive Control of Nonlinear Processes

2021 ◽  
Vol 54 (3) ◽  
pp. 639-646
Author(s):  
Zhe Wu ◽  
Junwei Luo ◽  
David Rincon ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
Predictive Control ◽  
Teaching Approach ◽  
Nonlinear Processes

Decentralized machine-learning-based predictive control of nonlinear processes

2020 ◽  
Vol 162 ◽  
pp. 45-60 ◽  
Author(s):  
Scarlett Chen ◽  
Zhe Wu ◽  
Panagiotis D. Christofides
Keyword(s):  
Machine Learning ◽  
Predictive Control ◽  
Nonlinear Processes
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