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题名

Finite-horizon Q-learning for discrete-time zero-sum games with application to H & INFIN;$$ {H}_{\infty } $$ control

作者
通讯作者Cai, Qianqian
发表日期
2023
DOI
发表期刊
ISSN
1561-8625
EISSN
1934-6093
卷号25期号:4页码:3160-3168
摘要
In this paper, we investigate the optimal control strategies for model-free zero-sum games involving the H(infinity )control. The key contribution is the development of a Q-learning algorithm for linear quadratic games without knowing the system dynamics. The finite-horizon setting is more practical than the infinite-horizon setting, but it is difficult to solve the time-varying Riccati equation associated with the finite-horizon setting directly. The proposed algorithm is shown to solve the time-varying Riccati equation iteratively without the use of models, and numerical experiments on aircraft dynamics demonstrate the algorithm's efficiency.
关键词
相关链接[来源记录]
收录类别
SCI ; EI
语种
英语
学校署名
其他
资助项目
National Natural Science Foundation of China["U21A20476","U1911401","62273100"] ; Guangdong Basic and Applied Basic Research Foundation["2020A1515011505","2021A1515012554"]
WOS研究方向
Automation & Control Systems
WOS类目
Automation & Control Systems
WOS记录号
WOS:000918012600001
出版者
EI入藏号
20230313401524
EI主题词
Game theory ; Iterative methods ; Learning algorithms ; Optimal control systems ; Reinforcement learning
EI分类号
Artificial Intelligence:723.4 ; Machine Learning:723.4.2 ; Control Systems:731.1 ; Calculus:921.2 ; Numerical Methods:921.6 ; Probability Theory:922.1
ESI学科分类
ENGINEERING
来源库
Web of Science
引用统计
被引频次[WOS]:0
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/431001
专题工学院_机械与能源工程系
作者单位
1.Guangdong Univ Technol, Sch Automat, Guangzhou, Peoples R China
2.Guangdong Prov Key Lab Intelligent Decis & Coopera, Guangzhou, Peoples R China
3.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Liu, Mingxiang,Cai, Qianqian,Meng, Wei,et al. Finite-horizon Q-learning for discrete-time zero-sum games with application to H & INFIN;$$ {H}_{\infty } $$ control[J]. ASIAN JOURNAL OF CONTROL,2023,25(4):3160-3168.
APA
Liu, Mingxiang,Cai, Qianqian,Meng, Wei,Li, Dandan,&Fu, Minyue.(2023).Finite-horizon Q-learning for discrete-time zero-sum games with application to H & INFIN;$$ {H}_{\infty } $$ control.ASIAN JOURNAL OF CONTROL,25(4),3160-3168.
MLA
Liu, Mingxiang,et al."Finite-horizon Q-learning for discrete-time zero-sum games with application to H & INFIN;$$ {H}_{\infty } $$ control".ASIAN JOURNAL OF CONTROL 25.4(2023):3160-3168.
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