Leader-follower consensus for multi-agent systems with Lipschitz-type node dynamics and jointly connected dynamical topology

  • Bohui Wang
  • , Jingcheng Wang
  • , Langwen Zhang
  • , Yi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Leader-follower consensus is addressed in this paper for multi-agent systems with Lipschitz-type node dynamics and jointly connected dynamical topology. The main contribution of this works is to solve the leader-follower consensus problem with the general assumption that the network topology is specifically given and connected being removed. By considering the underlying communication graph for dynamic interaction topology, a bounded condition of consensus speed is proposed. By considering a combination of state information of follower and leader agents, a class of leader-follower consensus protocol is designed with the appropriate consensus speed. By appropriately constructing Lyapunov function, it is proved that the leader-follower consensus for the closed-loop multi-agent systems with Lipschitz-Type node dynamics and jointly connected dynamical topology can be achieved with carefully selected feedback gain matrix. Finally, one simulation example is presented to verify the proposed approach and demonstrate its effectiveness.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages6980-6985
Number of pages6
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Externally publishedYes
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • Leader-follower consensus
  • consensus
  • dynamic interaction topology
  • information consensus protocols
  • intermittent communication

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