中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics

文献类型:期刊论文

作者Li, Hongliang; Liu, Derong; Wang, Ding
刊名IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
出版日期2014-07-01
卷号11期号:3页码:706-714
关键词Adaptive critic designs adaptive dynamic programming approximate dynamic programming reinforcement learning policy iteration zero-sum games
英文摘要In this paper, we develop an integral reinforcement learning algorithm based on policy iteration to learn online the Nash equilibrium solution for a two-player zero-sum differential game with completely unknown linear continuous-time dynamics. This algorithm is a fully model-free method solving the game algebraic Riccati equation forward in time. The developed algorithm updates value function, control and disturbance policies simultaneously. The convergence of the algorithm is demonstrated to be equivalent to Newton's method. To implement this algorithm, one critic network and two action networks are used to approximate the game value function, control and disturbance policies, respectively, and the least squares method is used to estimate the unknown parameters. The effectiveness of the developed scheme is demonstrated in the simulation by designing an H-infinity state feedback controller for a power system.
WOS标题词Science & Technology ; Technology
类目[WOS]Automation & Control Systems
研究领域[WOS]Automation & Control Systems
关键词[WOS]H-INFINITY CONTROL ; ADAPTIVE OPTIMAL-CONTROL ; STATE-FEEDBACK CONTROL ; NONLINEAR-SYSTEMS ; PROGRAMMING ALGORITHM ; CONTROL SCHEME ; DESIGN ; ARCHITECTURE ; MANAGEMENT ; ITERATION
收录类别SCI
语种英语
WOS记录号WOS:000340101400007
源URL[http://ir.ia.ac.cn/handle/173211/3832]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Li, Hongliang,Liu, Derong,Wang, Ding. Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2014,11(3):706-714.
APA Li, Hongliang,Liu, Derong,&Wang, Ding.(2014).Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,11(3),706-714.
MLA Li, Hongliang,et al."Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 11.3(2014):706-714.

入库方式: OAI收割

来源:自动化研究所

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