H∞ Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning-Reference-Cited by-同舟云学术

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H∞ Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning

Published:2020 Issue: Volume:8 Page:28831-28846
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Jinna^ORCID,Xiao Zhenfei

Funder

National Natural Science Foundation of China

Open Project of Key Field Alliance of Liaoning Province

Project of Liaoning Shihua University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08977468.pdf?arnumber=8977468

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate;Neural Networks;2024-07

2. Gaussian Reinforcement Learning: Optimal Tracking Control for Uncertain Linear Systems;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

3. $$H_\infty $$ Control Using Reinforcement Learning;Reinforcement Learning;2023

4. A new solution to distributed permutation flow shop scheduling problem based on NASH Q-Learning;Advances in Production Engineering & Management;2021-09-30

5. Robust Control of Unknown Observable Nonlinear Systems Solved as a Zero-Sum Game;IEEE Access;2020

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