Q-Learning Based Multi-Rate Optimal Control for Process Industries-Reference-Cited by-同舟云学术

Q-Learning Based Multi-Rate Optimal Control for Process Industries

Published:2022 Issue: Volume: Page:1-1
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Xia Zhenxing¹^ORCID,Hu Meng-Jie¹^ORCID,Dai Wei¹^ORCID,Yan Huaicheng²^ORCID,Ma Xiaoping¹

Affiliation:

1. School of Information and Control Engineering and Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China

2. Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education, East China University of Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Open Project Foundation of State Key Laboratory of Synthetical Automation for Process Industries

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/4358609/09938385.pdf?arnumber=9938385

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