Consensus of Multiagent Systems With Distance-Dependent Communication   Networks

doi:10.1109/TNNLS.2016.2598355

CORC > 北京大学 > 工学院

	Consensus of Multiagent Systems With Distance-Dependent Communication Networks
	Jing, Gangshan ; Zheng, Yuanshi ; Wang, Long
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2017
关键词	Formation control multiagent systems opinion dynamics rendezvous state-dependent graph switching networks MOBILE AUTONOMOUS AGENTS DYNAMIC AGENTS TIME-DELAYS TOPOLOGY CONVERGENCE
DOI	10.1109/TNNLS.2016.2598355
英文摘要	In this paper, we study the consensus problem of discrete-time and continuous-time multiagent systems with distance-dependent communication networks, respectively. The communication weight between any two agents is assumed to be a nonincreasing function of their distance. First, we consider the networks with fixed connectivity. In this case, the interaction between adjacent agents always exists but the influence could possibly become negligible if the distance is long enough. We show that consensus can be reached under arbitrary initial states if the decay rate of the communication weight is less than a given bound. Second, we study the networks with distance-dependent connectivity. It is assumed that any two agents interact with each other if and only if their distance does not exceed a fixed range. With the validity of some conditions related to the property of the initial communication graph, we prove that consensus can be achieved asymptotically. Third, we present some applications of the main results to opinion consensus problems and formation control problems. Finally, several simulation examples are presented to illustrate the effectiveness of the theoretical findings.; NSFC [64533001, 61375120, 61304160]; Fundamental Research Funds for the Central Universities [JB160419]; SCI(E); EI; ARTICLE; 11; 2712-2726; 28
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/494831]
专题	工学院
推荐引用方式 GB/T 7714	Jing, Gangshan,Zheng, Yuanshi,Wang, Long. Consensus of Multiagent Systems With Distance-Dependent Communication Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2017.
APA	Jing, Gangshan,Zheng, Yuanshi,&Wang, Long.(2017).Consensus of Multiagent Systems With Distance-Dependent Communication Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS.
MLA	Jing, Gangshan,et al."Consensus of Multiagent Systems With Distance-Dependent Communication Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017).