Data-Driven Distributed Model Predictive Control of Continuous Nonlinear Systems with Gaussian Process-Reference-Cited by-同舟云学术

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Data-Driven Distributed Model Predictive Control of Continuous Nonlinear Systems with Gaussian Process

Published:2022-11-30 Issue:49 Volume:61 Page:18187-18202
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zheng Yi¹²^ORCID,Zhang Tongqiang¹²,Li Shaoyuan¹²^ORCID,Qi Chenkun³,Zhang Yueyan¹²,Wang Yanye¹²

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

2. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China

3. School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c03027

Reference46 articles.

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

2. Machine learning‐based distributed model predictive control of nonlinear processes

3. Q-Learning-Based Model Predictive Control for Nonlinear Continuous-Time Systems

4. Gaussian Process Model Predictive Control of an Unmanned Quadrotor

5. Online learning‐based model predictive control with Gaussian process models and stability guarantees

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2. Learning-based Distributed Model Predictive Control with State-dependent Uncertainty Using Neural Network;2024 American Control Conference (ACC);2024-07-10

3. Distributed model predictive control for reconfigurable systems based on Lyapunov analysis;Journal of Process Control;2023-03

4. Economic Model Predictive Control of Nonlinear Systems Using Online Learning of Neural Networks;Processes;2023-01-20

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