CORC  > 北京大学  > 工学院
Consensus condition for linear multi-agent systems over randomly switching topologies
You, Keyou ; Li, Zhongkui ; Xie, Lihua
刊名automatica
2013
关键词Network topology Consensus Riccati inequality Consensus gain Markov process Link failure SUFFICIENT CONDITIONS NETWORKS AGENTS
DOI10.1016/j.automatica.2013.07.024
英文摘要This paper studies both continuous and discrete time consensus problems for multi-agent systems with linear time-invariant agent dynamics over randomly switching topologies. The switching is governed by a time-homogeneous Markov process, whose state corresponds to a possible interaction topology among agents. Necessary and sufficient conditions are derived for achieving consensus under a common control protocol, respectively. It is shown that the effect of switching topologies on consensus is determined by the union of topologies associated with the positive recurrent states of the Markov process. Moreover, the effect of random link failures on discrete time consensus is investigated. The implications and relationships with the existing results are discussed. Finally, the theoretical results are validated via simulations. (C) 2013 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000324447500023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Automation & Control Systems; Engineering, Electrical & Electronic; SCI(E); EI; 56; ARTICLE; 10; 3125-3132; 49
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/220635]  
专题工学院
推荐引用方式
GB/T 7714
You, Keyou,Li, Zhongkui,Xie, Lihua. Consensus condition for linear multi-agent systems over randomly switching topologies[J]. automatica,2013.
APA You, Keyou,Li, Zhongkui,&Xie, Lihua.(2013).Consensus condition for linear multi-agent systems over randomly switching topologies.automatica.
MLA You, Keyou,et al."Consensus condition for linear multi-agent systems over randomly switching topologies".automatica (2013).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace