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The Consensus Research on a Class of Event-Triggered Multi-Agent System

  • Harbin Institute of Technology Weihai
  • Tsinghua University

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

Abstract

This paper studies the properties of a class of multi- agent systems. First of all, this article lists some symbols and lemmas to be used afterwards. The first main part of this article studies a class of continuous-time multi-agent systems with event-trigger mechanism and gives its consensus analysis by applying Lyapunov method. At the same time, this article also gives a modified trigger mechanism, consisting of both time intervals and event-trigger intervals for this kind of continuous system. And it is proved that under the proposed trigger mechanism, the state solutions of the given system can finally reach a consensus and the Zeno effect does not appear. Moreover, the problem of average consensus of differential privacy is also studied with an event-trigger mechanism in a discrete-time multi-agent system. The consensus and accuracy of this discrete system in the sense of mean square is studied. Through the research, it is concluded that the output states of the discrete system under the given event-trigger mechanism finally reach a consensus in the mean square sense, and the state solutions converge to the weighted average of the initial state. At the end of this paper, numerical simulations are made to illustrate the feasibility of the algorithm of this paper in practice.

Original languageEnglish
Title of host publication11th International Conference on Intelligent Control and Information Processing, ICICIP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages221-226
Number of pages6
ISBN (Electronic)9781665425155
DOIs
StatePublished - 2021
Externally publishedYes
Event11th International Conference on Intelligent Control and Information Processing, ICICIP 2021 - Dali, China
Duration: 3 Dec 20217 Dec 2021

Publication series

Name11th International Conference on Intelligent Control and Information Processing, ICICIP 2021

Conference

Conference11th International Conference on Intelligent Control and Information Processing, ICICIP 2021
Country/TerritoryChina
CityDali
Period3/12/217/12/21

Keywords

  • Lyapunov method
  • Zeno effect
  • differential privacy
  • event-trigger
  • multi-agent system

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