A hybrid time/event-triggered interaction framework for multi-agent consensus with relative measurements

Xianwei Li, Yang Tang, Yuanyuan Zou, Shaoyuan Li, Wei Xing Zheng

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper is concerned with the output-feedback consensus problem of linear multi-agent systems on undirected graphs. Our focus is on reducing sensing and communication burdens between agents. Based on relative output measurements, a dynamic output-feedback (DOF) protocol is proposed, which, by leveraging the structure of the closed-loop dynamics, integrates a hybrid time/event-triggered sampling mechanism such that only intermittent interaction between agents is needed. Consensus conditions are established by the Lyapunov method and numerical simulations are provided for illustrating the effectiveness of the protocol. Compared with the existing results, the proposed DOF protocol has the following merits: (1) they rely on relative output measurements but do not need absolute measurements about agents; (2) they only require agents to intermittently interact with neighbors and thus can greatly reduce sensing and communication burdens between agents; and (3) the designed event-triggering conditions do not need to perform extra reconstruction operations that are computationally demanding.
Original languageEnglish
Article number111369
Number of pages9
JournalAutomatica
Volume159
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright: © 2023 Elsevier Ltd

Keywords

  • Consensus
  • Event-triggered mechanism
  • Multi-agent system
  • Relative measurement
  • Time-triggered mechanism

Fingerprint

Dive into the research topics of 'A hybrid time/event-triggered interaction framework for multi-agent consensus with relative measurements'. Together they form a unique fingerprint.

Cite this