Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems under DoS Attacks

Xianggui Guo, Dongyu Zhang, Jianliang Wang, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.

Original languageEnglish
Article number9497874
Pages (from-to)1644-1656
Number of pages13
JournalIEEE/CAA Journal of Automatica Sinica
Volume8
Issue number10
DOIs
Publication statusPublished - 2021 Oct

Keywords

  • Adaptive memory event-triggered mechanism (AMETM)
  • compensation mechanism
  • denial-of-service (DoS) attacks
  • nonlinear multi-agent systems (MASs)
  • observer-based anti-disturbance control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

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