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Zheng Y, Wu Z. Physics-Informed Online Machine Learning and Predictive Control of Nonlinear Processes with Parameter Uncertainty. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c03691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Yingzhe Zheng
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585, Singapore
| | - Zhe Wu
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585, Singapore
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2
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On generalization error of neural network models and its application to predictive control of nonlinear processes. Chem Eng Res Des 2023. [DOI: 10.1016/j.cherd.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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3
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Zheng Y, Zhang T, Li S, Qi C, Zhang Y, Wang Y. Data-Driven Distributed Model Predictive Control of Continuous Nonlinear Systems with Gaussian Process. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c03027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Affiliation(s)
- Yi Zheng
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
| | - Tongqiang Zhang
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
| | - Shaoyuan Li
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
| | - Chenkun Qi
- School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Yueyan Zhang
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
| | - Yanye Wang
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
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Advanced predictive control for GRU and LSTM networks. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.10.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Zhao T, Zheng Y, Wu Z. Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.108074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Zhang T, Li S, Zheng Y. Implementable Stability Guaranteed Lyapunov-Based Data-Driven Model Predictive Control with Evolving Gaussian Process. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Tongqiang Zhang
- Department of Automation, Shanghai Jiao Tong University, Shanghai200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai200240, China
| | - Shaoyuan Li
- Department of Automation, Shanghai Jiao Tong University, Shanghai200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai200240, China
| | - Yi Zheng
- Department of Automation, Shanghai Jiao Tong University, Shanghai200240, China
- Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai200240, China
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Alhajeri MS, Abdullah F, Wu Z, Christofides PD. Physics-informed machine learning modeling for predictive control using noisy data. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.07.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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9
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Zhao T, Zheng Y, Gong J, Wu Z. Machine Learning-Based Reduced-Order Modeling and Predictive Control of Nonlinear Processes. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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