Cited by 205Distributed Control Multi-Agent SystemsStability and Control of Uncertain SystemsNeural Networks Stability and Synchronization

Observer-Based Event-Triggered Containment Control for MASs Under DoS Attacks

Ma, Yong-Sheng, Che, Wei-Wei, Deng, Chao, Wu, Zheng-Guang·2022·IEEE Transactions on Cybernetics

Abstract

This article studies the observer-based event-triggered containment control problem for linear multiagent systems (MASs) under denial-of-service (DoS) attacks. In order to deal with situations where MASs states are unmeasurable, an improved separation method-based observer design method with less conservativeness is proposed to estimate MASs states. To save communication resources and achieve the containment control objective, a novel observer-based event-triggered containment controller design method based on observer states is proposed for MASs under the influence of DoS attacks, which can make the MASs resilient to DoS attacks. In addition, the Zeno behavior can be eliminated effectively by introducing a positive constant into the designed event-triggered mechanism. Finally, a practical example is presented to illustrate the effectiveness of the designed observer and the event-triggered containment controller.

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Crossref · 10.1109/tcyb.2021.3104178

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Authors
Ma, Y.-S., Che, W.-W., Deng, C., & Wu, Z.-G.
Affiliations
  • Department of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China
  • Qingdao University (CN)
  • Nanjing University of Posts and Telecommunications (CN)
  • State Key Laboratory of Industrial Control Technology (CN)
Venue
IEEE Transactions on Cybernetics
Published
2022-12
Volume
52
Issue
12
Pages
13156-13167
ISSN
  • 2168-2267 (ISSN-L)
  • 2168-2275
OpenAlex
W3196711749
Cited by
205
References
50
Citations by year
2026: 29 · 2025: 54 · 2024: 46 · 2023: 35 · 2022: 37 · 2021: 4
FWCI
13.68
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Cybernetics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (U1966202, 61873338)
  • Taishan Scholars (tsqn201812052)
  • Natural Science Foundation of Shandong Province (ZR2020KF034)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Neural Networks Stability and Synchronization
Keywords
event-triggered control, containment control, multi-agent systems, denial-of-service attacks, observer design, separation processes, unmeasurable states, Zeno behavior elimination, communication resource reduction, attack resilience

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