Reinforcement Learning-Based Predefined-Time Tracking Control for Nonlinear Systems Under Identifier–Critic

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Reinforcement Learning-Based Predefined-Time Tracking Control for Nonlinear Systems Under Identifier–Critic–Actor Structure

Published:2024 Issue: Volume: Page:1-13
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wang Jing¹^ORCID,Zhao Wei¹^ORCID,Cao Jinde²^ORCID,Park Ju H.³^ORCID,Shen Hao¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering and the Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Anhui University of Technology, Maanshan, China

2. School of Mathematics, Southeast University, Nanjing, China

3. Department of Electrical Engineering, Yeungnam University, Gyeongsan, Republic of Korea

Funder

National Natural Science Foundation of China

Natural Science Foundation for Distinguished Young Scholars of Higher Education Institutions of Anhui Province

Natural Science Foundation for Excellent Young Scholars of Higher Education Institutions of Anhui Province

Research and Development Project of Engineering Research Center of Biofilm Water Purification and Utilization Technology of Ministry of Education

University Synergy Innovation Program of Anhui Province

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6221036/6352949/10621740.pdf?arnumber=10621740

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