Neuro-Adaptive Consensus Tracking of Multiagent Systems With a   High-Dimensional Leader

doi:10.1109/TCYB.2016.2556002

CORC > 北京大学 > 工学院

	Neuro-Adaptive Consensus Tracking of Multiagent Systems With a High-Dimensional Leader
	Wen, Guanghui ; Yu, Wenwu ; Li, Zhongkui ; Yu, Xinghuo ; Cao, Jinde
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2017
关键词	Adaptive approximation consensus tracking multiagent system neural adaptive control neural network (NN) ROBUSTNESS ANALYSIS FOLLOWER CONSENSUS NONLINEAR DYNAMICS SWITCHING TOPOLOGY DIRECTED NETWORKS ACTIVE LEADER TIME-DELAYS SYNCHRONIZATION DESIGN AGENTS
DOI	10.1109/TCYB.2016.2556002
英文摘要	This paper is concerned with the distributed consensus tracking problem of uncertain multiagent systems with directed communication topology and a single high-dimensional leader. Compared with existing related works, the dynamics of each follower in the present framework are subject to unmodeled dynamics and unknown external disturbances, which is more practical in various applications. Furthermore, the dimensions of leader's dynamics may be different with those of the followers' dynamics. Under the mild assumption that each follower can directly or indirectly sense the output information of the leader, a distributed robust adaptive neural network controller together with a local observer are designed to each follower to ensure that the states of each follower ultimately synchronize to the leader's output with bounded residual errors under a fixed topology. By appropriately constructing some multiple Lyapunov functions, the derived results are further extended to consensus tracking with switching directed communication topologies. The effectiveness of the analytical results is demonstrated via numerical simulations.; National Nature Science Foundation of China [61304168, 61573096, 61322302, 61473005]; Natural Science Foundation of Jiangsu Province of China [BK20130595]; National Ten Thousand Talent Program for Young Top-Notch Talents; Fundamental Research Funds for the Central Universities of China [2242016K41030, 2242016K41058]; Six Talent Peaks of Jiangsu Province [2014-DZXX-004]; Australian Research Council Discovery Scheme [DP140100544]; Research Fund for the Doctoral Program of Higher Education of China [20130092120030]; SCI(E); ARTICLE; 7; 1730-1742; 47
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/472527]
专题	工学院
推荐引用方式 GB/T 7714	Wen, Guanghui,Yu, Wenwu,Li, Zhongkui,et al. Neuro-Adaptive Consensus Tracking of Multiagent Systems With a High-Dimensional Leader[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017.
APA	Wen, Guanghui,Yu, Wenwu,Li, Zhongkui,Yu, Xinghuo,&Cao, Jinde.(2017).Neuro-Adaptive Consensus Tracking of Multiagent Systems With a High-Dimensional Leader.IEEE TRANSACTIONS ON CYBERNETICS.
MLA	Wen, Guanghui,et al."Neuro-Adaptive Consensus Tracking of Multiagent Systems With a High-Dimensional Leader".IEEE TRANSACTIONS ON CYBERNETICS (2017).