Distributed Event-Triggered Tracking Control of Heterogeneous Discrete-Time Multi-Agent Systems with Unknown Parameters

Ruohan Yang, Deyun Zhou

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In this paper, a novel design framework is developed to solve the cooperative tracking problem of heterogeneous discrete-time multi-agent systems with unknown agent parameters and directed communication topologies. First, a distributed event-triggered observer is developed to handle the heterogeneity of the multi-agent systems. An event-triggering mechanism is proposed to reduce the amount of data transmission between neighboring agents. Then, based on the proposed observer, a discrete-time distributed model reference adaptive controller is presented to deal with the unknown parameters of the multi-agent systems. It is shown that by using the proposed observer and the model reference adaptive controller, the proposed design framework could achieve output tracking of the unknown multi-agent systems for any communication graph containing a directed spanning tree. Finally, an example is presented to illustrate the effectiveness of the proposed controller.

Original languageEnglish
Pages (from-to)1330-1347
Number of pages18
JournalJournal of Systems Science and Complexity
Volume35
Issue number4
DOIs
StatePublished - Aug 2022

Keywords

  • Adaptive control
  • cooperative control
  • distributed control
  • event-triggered control
  • heterogeneous multi-agent systems

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