Distributed Event-Triggered Adaptive Control for Consensus of Linear Multi-Agent Systems with External Disturbances

Research output: Journal PublicationsJournal Article (refereed)peer-review

196 Citations (Scopus)

Abstract

This paper investigates the consensus problem of linear multi-agent systems subject to external disturbances via distributed event-triggered adaptive control. First, a distributed event-triggered adaptive output feedback control strategy is proposed for each agent. It is shown that under this control strategy, the consensus problem can be solved for any connected undirected communication graph in a fully distributed manner without using any global information. Then a distributed self-triggered adaptive output feedback control strategy is designed with which continuous monitoring of the measurement error is no longer needed. It is further shown that for the proposed event-triggered and self-triggered control strategies, no agent will exhibit Zeno behavior. Finally, the effectiveness of the proposed two control strategies is illustrated on a group of two-mass-spring systems.

Original languageEnglish
Article number8561145
Pages (from-to)2197-2208
Number of pages12
JournalIEEE Transactions on Cybernetics
Volume50
Issue number5
Early online date5 Dec 2018
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Funding

This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region of China under Project CityU/11274916. This paper was recommended by Associate Editor T. Huang.

Keywords

  • Consensus
  • distributed control
  • event-triggered control
  • multi-agent systems
  • output feedback
  • robust adaptive control

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