Event-triggered robust cooperative output regulation for a class of linear multi-agent systems with an unknown exosystem

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

5 Citations (Scopus)

Abstract

This paper investigates the robust cooperative output regulation problem for a class of heterogeneous uncertain linear multi-agent systems with an unknown exosystem via event-triggered control (ETC). By utilizing the internal model approach and the adaptive control technique, a distributed adaptive internal model is constructed for each agent. Then, based on this internal model, a fully distributed ETC strategy composed of a distributed event-triggered adaptive output feedback control law and a distributed dynamic event-triggering mechanism is proposed, in which each agent updates its control input at its own triggering time instants. It is shown that under the proposed ETC strategy, the robust cooperative output regulation problem can be solved without requiring either the global information associated with the communication topology or the bounds of the uncertain or unknown parameters in each agent and the exosystem. A numerical example is provided to illustrate the effectiveness of the proposed control strategy.

Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalJournal of Automation and Intelligence
Volume3
Issue number2
Early online date28 Mar 2024
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Funding

This work was supported by the National Natural Science Foundation of China (NSFC) – Excellent Young Scientists Fund (Hong Kong and Macao) under Grant 62222318 .

Keywords

  • Adaptive control
  • Event-triggered control
  • Internal model
  • Multi-agent systems
  • Output regulation

Fingerprint

Dive into the research topics of 'Event-triggered robust cooperative output regulation for a class of linear multi-agent systems with an unknown exosystem'. Together they form a unique fingerprint.

Cite this