Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information

doi:10.1109/JAS.2023.124125

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information
	Yun Zhang; Lulu Zhang; Yunze Cai
刊名	IEEE/CAA Journal of Automatica Sinica
	2024
卷号	11 期号:3 页码:690-697
关键词	Adaptive dynamic programming incomplete information multi-player differential game value iteration
ISSN号	2329-9266
DOI	10.1109/JAS.2023.124125
英文摘要	This paper presents a novel cooperative value iteration (VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence proof. The players are divided into two groups in the learning process and adapt their policies sequentially. Our method removes the dependence of admissible initial policies, which is one of the main drawbacks of the PI-based frameworks. Furthermore, this algorithm enables the players to adapt their control policies without full knowledge of others’ system parameters or control laws. The efficacy of our method is illustrated by three examples.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54600]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Yun Zhang,Lulu Zhang,Yunze Cai. Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(3):690-697.
APA	Yun Zhang,Lulu Zhang,&Yunze Cai.(2024).Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information.IEEE/CAA Journal of Automatica Sinica,11(3),690-697.
MLA	Yun Zhang,et al."Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information".IEEE/CAA Journal of Automatica Sinica 11.3(2024):690-697.