Event-Triggered Consensus of Nonlinear Agents with Quantized Broadcasts: A Hybrid System Approach

Mani H. Dhullipalla*, Hao Yu, Tongwen Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Information exchange among agents operating over a network, in practice, is restrained by limited communication bandwidth; this concern is often addressed by employing quantized broadcasts. In this paper, we study the problem of consensus of nonlinear multi-agent systems (MASs) over a directed network where the agents employ: a) encoders, that quantize relevant information prior to broadcasting, and b) decoders, that process this information upon arrival. The decision on the broadcast instant itself is made with the help of a dynamic event-triggering mechanism (ETM) in that the agents evaluate their respective event-triggering conditions intermittently at pre-designed sampling instants (which may be both aperiodic and asynchronous). Subsequently, the agents utilize model-based propagates of the decoded neighbor states in their control protocols to achieve consensus. The overall MAS is modeled using hybrid systems framework and the results are demonstrated through an illustrative example.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Pages1204-1209
Number of pages6
Edition2
ISBN (Electronic)9781713872344
DOIs
Publication statusPublished - 1 Jul 2023
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd IFAC World Congress
Country/TerritoryJapan
CityYokohama
Period9/07/2314/07/23

Keywords

  • Quantized broadcasts
  • consensus
  • nonlinear multi-agent systems
  • periodic event-triggered control

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