A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems

doi:10.1109/TCYB.2024.3403690

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems
	Jiao, Shanshan 1; Wei, Qinglai1,2,3 ; Wang, Fei-Yue1,2,3
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2024-06-10
页码	14
通讯作者	Wei, Qinglai(qinglai.wei@ia.ac.cn)
摘要	This work concentrates on the initial introduction of parallel control to investigate an optimal consensus control strategy for continuous-time nonlinear multiagent systems (MASs) via adaptive dynamic programming (ADP). First, the control input is integrated into the feedback system for parallel control, facilitating an augmented system's optimal consensus control with an appropriate augmented performance index function to be established, which is identical to the original system's suboptimal control with a conventional performance index. Second, the feasibility of the proposed control scheme is evaluated based on the policy iteration algorithm, and the convergence of the algorithm is demonstrated. Then, an online learning algorithm becomes available to implement the ADP-based optimal parallel consensus control protocol without prior knowledge of the system. The Lyapunov approach is employed to indicate that the signals are convergent. Ultimately, the experimental data support the theoretical results.
关键词	Consensus control Optimal control Performance analysis Vectors Heuristic algorithms Multi-agent systems Dynamic programming Adaptive dynamic programming (ADP) coupled Hamilton-Jacobi optimal consensus control parallel control
DOI	10.1109/TCYB.2024.3403690
关键词[WOS]	TRACKING CONTROL ; VALUE-ITERATION ; CONSTRAINTS
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
项目资助者	National Key Research and Development Program of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:001248176700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/58737
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wei, Qinglai
作者单位	1.Macau Univ Sci & Technol, Inst Syst Engn, Taipa, Macao, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
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	Jiao, Shanshan,Wei, Qinglai,Wang, Fei-Yue. A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2024:14.
APA	Jiao, Shanshan,Wei, Qinglai,&Wang, Fei-Yue.(2024).A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems.IEEE TRANSACTIONS ON CYBERNETICS,14.
MLA	Jiao, Shanshan,et al."A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems".IEEE TRANSACTIONS ON CYBERNETICS (2024):14.