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Adaptive event-triggered fault-tolerant consensus of linear heterogeneous multiagent systems via hierarchical approach

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  • Huang, Jingyang
  • Jia, Wei
  • Wan, Tongxin
  • Xiao, Shuyi
  • Wang, Liqi
  • Dong, Jiuxiang

Abstract

This article investigates the event-triggered fault-tolerant consensus problem for heterogeneous linear multiagent systems (MASs) with actuator failures. By introducing the hierarchical control scheme, a distributed adaptive event-triggered fault-tolerant control method is proposed. The upper layer and the lower layer comprise the hierarchical control structure. The upper layer is made up of a virtual reference system and a distributed cooperative controller with event-triggered mechanism, while the lower layer is composed of an actual system and a fault-tolerant tracking controller. The main contribution of this work is that the phenomena of fault propagation could be prevented employing presented control method when compared to the most commonly used distributed fault-tolerant control methods. And continuous transmission between agents can be eliminated due to the event-triggered mechanism. It is shown that the consensus error converges to zero asymptotically. Finally, the effectiveness of the theoretical result is illustrated by a simulation example.

Suggested Citation

  • Huang, Jingyang & Jia, Wei & Wan, Tongxin & Xiao, Shuyi & Wang, Liqi & Dong, Jiuxiang, 2023. "Adaptive event-triggered fault-tolerant consensus of linear heterogeneous multiagent systems via hierarchical approach," Applied Mathematics and Computation, Elsevier, vol. 447(C).
    • Handle: RePEc:eee:apmaco:v:447:y:2023:i:c:s0096300323000784
    DOI: 10.1016/j.amc.2023.127909
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    References listed on IDEAS

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    1. Guoying Miao & Jinde Cao & Tao Li & Bo-Chao Zheng, 2020. "Adaptive consensus problems of heterogeneous multi-agent systems with saturations," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(2), pages 291-302, January.
    2. Shuyi Xiao & Jiuxiang Dong, 2019. "Robust adaptive fault-tolerant control for time delay uncertain nonlinear systems with time-varying performance bounds," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(11), pages 2168-2188, August.
    3. Zhu, Zhibin & Wang, Fuyong & Yin, Yanhui & Liu, Zhongxin & Chen, Zengqiang, 2022. "Distributed fault-tolerant containment control for a class of non-linear multi-agent systems via event-triggered mechanism," Applied Mathematics and Computation, Elsevier, vol. 430(C).
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    Cited by:

    1. Tian, Yongjie & Zhang, Huiyan & Liu, Yongchao & Zhao, Ning & Mathiyalagan, Kalidass, 2024. "Event-triggered adaptive secure tracking control for nonlinear cyber–physical systems against unknown deception attacks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 79-93.
    2. Qing, Nengneng & Yang, Yongqing & Luan, Xiaoli & Wan, Haiying, 2024. "Practical time-boundary consensus for fractional-order multi-agent systems under well-known and estimable topology," Applied Mathematics and Computation, Elsevier, vol. 464(C).

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