Fuzzy $H_{\infty }$ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement $Q$-Learning Method-Reference-Cited by-同舟云学术

Fuzzy $H_{\infty }$ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement $Q$-Learning Method

Published:2022 Issue: Volume: Page:1-12
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wang Jing¹^ORCID,Wu Jiacheng¹^ORCID,Shen Hao²^ORCID,Cao Jinde³^ORCID,Rutkowski Leszek⁴^ORCID

Affiliation:

1. Anhui Province Key Laboratory of Special Heavy Load Robot and the School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan, China

2. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan, China

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

4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Funder

National Natural Science Foundation of China

Major Natural Science Foundation of Higher Education Institutions of Anhui Province

Natural Science Foundation for Excellent Young Scholars of Anhui Province

Major Technologies Research and Development Special Program of Anhui Province

Key Research and Development Projects of Anhui Province

Open Project of China International Science and Technology Cooperation Base on Intelligent Equipment Manufacturing in Special Service Environment

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/ielx7/6221036/6352949/09961931.pdf?arnumber=9961931

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