Event-triggered consensus for continuous-time multi-agent systems with parameter uncertainties

Xiaoyu Liu, Jian Sun, Lihua Dou, Ke Lai

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

Abstract

This paper investigates the event-triggered consensus for linear continuous-time uncertain multi-agent systems. The parameter uncertainty is assumed to be time-varying but norm-bounded. An event-triggered consensus protocol is proposed based on the predictive method to make the multi-agent system achieve consensus without continuous communication among agents. A necessary and sufficient condition for the consensus problem of the multi-agent system is derived and a method to design the feedback gain matrix are proposed. Furthermore, the nonexistence of Zeno behaviour is also proved. Finally, a numerical example is given to illustrate that the event-triggered consensus protocol proposed in this paper can make the multi-agent system with parameter uncertainties achieve consensus without continuous communication.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages8518-8523
Number of pages6
ISBN (Electronic)9789881563934
DOIs
Publication statusPublished - 7 Sept 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

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

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Consensus
  • Event-triggered strategy
  • Multi-agent systems
  • Parameter uncertainties

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