Design of distributed adaptive event-triggered consensus control strategies with positive minimum inter-event times

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

Abstract

This paper studies the design of distributed adaptive event-triggered control strategies with positive minimum inter-event times for linear multi-agent systems. To present our design idea, this paper focuses on the consensus problem of linear multi-agent systems defined on a fixed communication graph. In order to solve the consensus problem, a distributed adaptive event-triggered control strategy is proposed that consists of a distributed event-triggered adaptive control law and a distributed asynchronous event-triggering mechanism. It is shown that under the proposed event-triggered control strategy, the states of all agents asymptotically reach consensus via intermittent communication without using any global information of the communication graph. Moreover, using the proposed event-triggering mechanism, not only the exclusion of the Zeno behavior but also the existence of a uniform strictly positive minimum inter-event time is guaranteed for each agent. A simulation example demonstrates the effectiveness of the proposed event-triggered control strategy.

Original languageEnglish
Article number109837
JournalAutomatica
Volume133
Early online date6 Aug 2021
DOIs
Publication statusPublished - Nov 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Funding

This work was supported by National Science Foundation USA Grant 1714519 and Department of Navy Awards N00014-20-1-2858 and N00014-17-1-2239 issued by the Office of Naval Research, USA . The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Dimos V. Dimarogonas under the direction of Editor Christos G. Cassandras.

Keywords

  • Adaptive control
  • Consensus
  • Distributed control
  • Event-triggered control

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