Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths-Reference-Cited by-同舟云学术

Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths

Published:2023-12 Issue:12 Volume:53 Page:7881-7894
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Ma Lele¹^ORCID,Liu Xiangjie¹^ORCID,Gao Furong²^ORCID,Lee Kwang Y.³^ORCID

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

2. Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Sai Kung, Hong Kong

3. Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10334428/10026459.pdf?arnumber=10026459

Reference43 articles.

1. Fractional order iterative learning control with randomly varying trial lengths

2. Dynamic Event-Triggered MPC With Shrinking Prediction Horizon and Without Terminal Constraint

3. Iterative learning control for nonlinear stochastic systems with variable pass length

4. Event-Triggered Learning for Linear Quadratic Control

5. Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths

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