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Fixed-time event-triggered average consensus of nonlinear MASs with external disturbances and switching topologies

  • Jian Liu
  • , Xiaofeng Chai
  • , Yanling Zhang
  • , Yao Yu
  • , Changyin Sun
  • University of Science and Technology Beijing
  • Southeast University, Nanjing

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

4 Scopus citations

Abstract

This paper investigates the fixed-time event-triggered average consensus of nonlinear multi-agent systems (MASs) with external disturbances and switching topologies. Compared with the existing fixed-time event-triggered consensus results, we consider the nonlinear uncertainties, external disturbances and switching topologies simultaneously in this paper. Moreover, we extend the fixed-time event-triggered consensus results to the nonlinear MASs with switching topologies. The fixed-time average consensus is obtained via event-triggered control (ETC). Hence, the energy consumption and the frequency of the controller update can be reduced significantly. Furthermore, there is no Zeno behavior under the proposed average consensus control strategies.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages6007-6012
Number of pages6
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • ETC
  • External disturbances
  • Fixed-time consensus
  • Nonlinear systems
  • Switching topologies

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