Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems

doi:10.1109/TASE.2023.3289950

	Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems
	Li, Hongyang1,2 ; Wei, Qinglai1,2,3
发表期刊	IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN	1545-5955
	2023-07-04
页码	11
通讯作者	Wei, Qinglai(qinglai.wei@ia.ac.cn)
摘要	This paper presents a novel data-driven optimal output cluster synchronization control method for heterogeneous multi-agent systems with disturbances based on adaptive dynamic programming. Traditional cluster synchronization control methods require the information of system matrices, which limit the application scope in the reality. In order to solve this problem, a novel data-driven optimal control method is presented, where the input-state data is utilized without the information of system matrices of state equations, to realize the output cluster synchronization of multi-agent systems. The major contributions are displayed as follows: 1) a novel data-driven optimal output cluster synchronization control method is presented which requires the input-state data of multi-agent systems; 2) a novel distributed adaptive observer is designed which can avoid the effects of negative edge weights between the clusters; 3) the output cluster synchronization control problem is transformed into the output regulation problem, and adaptive dynamic programming method is presented which can realize the disturbance rejection. First, the output cluster synchronization control problem is formulated. Next, a novel optimal output cluster synchronization control method is presented based on distributed adaptive observer and adaptive dynamic programming. Numerical experiment shows the good performance of the presented method. Note to Practitioners-Most of the existing cluster synchronization control methods require the information of system matrices. However, it is hard to obtain the accurate system models in the reality, which limits the application scope of the existing methods. On the other hand, the disturbances in practice make the effective cluster synchronization control of multi-agent systems very challenging. Aiming at the above problems, this paper designs novel data-driven optimal control laws for heterogeneous multi-agent systems with disturbances to realize the output cluster synchronization. A novel distributed adaptive observer is designed to estimate the states and system matrices of leaders. Then, the adaptive dynamic programming method is presented to obtain the optimal control law of each agent based on the estimated information. Comparative experiment is provided to show the good performance of the presented method.
关键词	Index Terms- Output cluster synchronization control data-driven control adaptive dynamic programming policy iteration heterogeneous multi-agent systems optimal control
DOI	10.1109/TASE.2023.3289950
关键词[WOS]	COUPLE-GROUP CONSENSUS ; STABILITY
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2021YFE0206100] ; National Natural Science Foundation of China[62073321] ; National Defense Basic Scientific Research Program of China[JCKY2019203C029] ; Science and Technology Development Fund, Macau, SAR[FDCT-22-009-MISE] ; Science and Technology Development Fund, Macau, SAR[0060/2021/A2] ; Science and Technology Development Fund, Macau, SAR[0015/2020/AMJ] ; State Key Laboratory of Rail Traffic Control and Safety[RCS2021K005]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program of China ; Science and Technology Development Fund, Macau, SAR ; State Key Laboratory of Rail Traffic Control and Safety
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:001025594700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53610
专题	多模态人工智能系统全国重点实验室
通讯作者	Wei, Qinglai
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Hongyang,Wei, Qinglai. Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2023:11.
APA	Li, Hongyang,&Wei, Qinglai.(2023).Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,11.
MLA	Li, Hongyang,et al."Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023):11.