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Resilient Event- Triggered Fault- Tolerant Control for Multiagent Systems under Communication Failure and Hybird Actuator Faults

  • Pu Zhang
  • , Kun Zhang*
  • , Shan Gao
  • , Jialong Zhang
  • *Corresponding author for this work
  • Northwestern Polytechnical University Xian
  • Unit 63768 of PLA

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

Abstract

This paper investigates the fault-tolerant tracking problem for multi-agent systems with directed topology under malicious attacks. Based on a resilient event-triggered mechanism, a novel distributed high-order sliding-mode observer and an adaptive cooperative fault-tolerant control method are proposed, which can achieve the desired formation shape tracking under communication limitations and hybrid actuator faults. First, the designed distributed event-triggered observer can estimate the unknown leader. Second, the proposed event-triggered mechanism can be used to reduce the utilization rate of network communication. Then, based on the information of the leader, the designed adaptive cooperative fault-tolerant controller can compensate for the influence of the hybrid actuator faults on the system under malicious attacks. Finally, the effectiveness of the method is verified by the example simulations.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages2326-2331
Number of pages6
ISBN (Electronic)9789887581536
DOIs
StatePublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Communication constraints
  • Cooperative fault-tolerant control
  • Hybrid actuator faults
  • Multi-agent systems
  • Resilient event-triggered mechanism

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