Skip to main navigation Skip to search Skip to main content

Dynamic Event-Triggered Attitude Consensus of Multiple Rigid Bodies with Positive Minimum Inter-Event Times

  • Junyu Zhou
  • , Yue Gu
  • , Bing Zhu
  • , Xianwei Li*
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)

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

Abstract

The attitude consensus problem of multiple rigid body systems is investigated in this paper. For each rigid body, we consider its first-order attitude dynamics and propose a control protocol to make the system achieve attitude consensus, which only requires sampled, rather than continuous, communication between systems. The sampling instants are determined by a specially designed dynamic event-triggered mechanism. Compared with most existing related works which only prove the exclusion of Zeno behavior, our method provides a strictly positive lower bound of minimum inter-event times, which is designable and irrelevant to initial states. Finally, a numerical simulation is provided to illustrate our results.

Original languageEnglish
Title of host publication2025 IEEE 64th Conference on Decision and Control, CDC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1564-1569
Number of pages6
ISBN (Electronic)9798331526276
DOIs
StatePublished - 2025
Event64th IEEE Conference on Decision and Control, CDC 2025 - Rio de Janeiro, Brazil
Duration: 9 Dec 202512 Dec 2025

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference64th IEEE Conference on Decision and Control, CDC 2025
Country/TerritoryBrazil
CityRio de Janeiro
Period9/12/2512/12/25

Fingerprint

Dive into the research topics of 'Dynamic Event-Triggered Attitude Consensus of Multiple Rigid Bodies with Positive Minimum Inter-Event Times'. Together they form a unique fingerprint.

Cite this