Output Consensus for Heterogeneous Linear Multiagent Systems with a Predictive Event-Triggered Mechanism

Qiuling Yang, Jian Sun*, Jie Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

In this paper, an output consensus problem for a heterogeneous linear multiagent system with a predictive event-triggered mechanism on directed graphs is investigated. An event-triggered consensus protocol is proposed by introducing an internal reference model for each agent to handle the heterogeneity existing in the system. With the proposed mechanism, each agent predicts its internal reference model's input by employing the estimate of the internal reference model's state differences between itself and its neighbor agents. As it considers the internal reference model's inputs of agents, the system requires far fewer event-triggered times to achieve consensus, leading to a significant reduction in communication cost among agents. A necessary and sufficient condition of the output consensus for the heterogeneous linear multiagent system is put forth. Furthermore, Zeno behavior can be ruled out for each agent. Some numerical examples are given to demonstrate the effectiveness of the proposed control mechanism.

Original languageEnglish
Article number8645798
Pages (from-to)1993-2005
Number of pages13
JournalIEEE Transactions on Cybernetics
Volume51
Issue number4
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Directed graphs
  • heterogeneous multiagent systems
  • output consensus
  • predictive event-triggered mechanism

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