Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes-Reference-Cited by-同舟云学术

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Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
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Author:

Jia Linzhu¹,Wang Limin¹,Zhang Ridong²,Gao Furong³

Affiliation:

1. School of Mathematics and Statistics University Hainan Normal University,Haikou,China

2. Hangzhou Dianzi University,Information and Control Institute,Hangzhou,China

3. Hong Kong University of Science and Technology,Department of Chemical and Biomolecular Engineering,Hongkong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295876.pdf?arnumber=10295876

Reference30 articles.

1. Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

2. Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning

3. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

4. Electron spectroscopy studies on magneto-optical media and p;tagawa;IEEE Transactions on Neural Networks and Learning Systems,2021

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