Improved model-free H∞ control for batch processes via off-policy 2D game Q-learning-Reference-Cited by-同舟云学术

Improved model-free H∞ control for batch processes via off-policy 2D game Q-learning

Published:2022-07-28 Issue: Volume: Page:1-17
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Jiang Xueying¹,Huang Min¹,Kuang Hanbin¹²,Shi Huiyuan¹³,Wang Xingwei⁴,Lee Loo Hay⁵

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang, People’s Republic of China

2. School of Economics, Zhejiang University of Finance & Economics, Hangzhou, People’s Republic of China

3. School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, People’s Republic of China

4. College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China

5. Department of Industrial and Systems Engineering, National University of Singapore, Singapore, Singapore

Funder

NSFC Major International (Regional) Joint Research Project

Liaoning Revitalizing Talent Program

Fundamental Research Funds for State Key Laboratory of Synthetical Automation for Process Industries

National Natural Science Foundation of China

111 Incubating Program of Overseas Expert Introduction

High-level Overseas Expert’ Introduction Program

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2022.2097957

Reference43 articles.

1. Model-free Q-learning designs for linear discrete-time zero-sum games with application to H-infinity control

2. H∞-Optimal Control and Related Minimax Design Problems

3. Data-driven game-based control of microsatellites for attitude takeover of target spacecraft with disturbance

4. A reinforcement learning decision model for online process parameters optimization from offline data in injection molding

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