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Distributed output-feedback resilient fault-tolerant tracking control of uncertain heterogeneous linear MASs under directed topologies and DoS attacks

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  • Xiao, Shuyi
  • Dong, Jiuxiang

Abstract

This paper presents a distributed output-feedback resilient tracking fault-tolerant control (FTC) protocol for uncertain heterogeneous linear multi-agent systems (MASs) with directed topologies and DoS attacks. The uncertainty, actuator fault and nonidenticality in agents and DoS attacks in directed communication topologies, make it a challenging task to achieve distributed output-feedback FTC objective. In order to solve this difficulty, a hierarchical framework is introduced. The basic idea is to design distributed resilient observers under directed topologies and DoS attacks. By virtue of switching systems theory, the upper bounds of attack frequency and attack duration are obtained. Based on neural networks approximation technique and model reference tracking method, a novel output-feedback FTC scheme is proposed. Lastly, simulation example indicates the validity of the proposed method.

Suggested Citation

  • Xiao, Shuyi & Dong, Jiuxiang, 2023. "Distributed output-feedback resilient fault-tolerant tracking control of uncertain heterogeneous linear MASs under directed topologies and DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 443(C).
    • Handle: RePEc:eee:apmaco:v:443:y:2023:i:c:s0096300322008700
    DOI: 10.1016/j.amc.2022.127802
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    References listed on IDEAS

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    1. Dong, Jiuxiang & Hou, Junteng, 2017. "Output feedback fault-tolerant control by a set-theoretic description of T–S fuzzy systems," Applied Mathematics and Computation, Elsevier, vol. 301(C), pages 117-134.
    2. Lou, Fangzheng & Li, Feng & Wang, Jing & Wang, Yan, 2022. "Reliable output feedback control for persistent dwell-time switched piecewise-affine systems against deception attacks," Applied Mathematics and Computation, Elsevier, vol. 426(C).
    3. Lü, Shao-Yu & Jin, Xiao-Zheng & Wang, Hai & Deng, Chao, 2021. "Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    4. Zhang, Ziwei & Chen, Zongjie & Sheng, Zhang & Li, Dan & Wang, Jing, 2022. "Static output feedback secure synchronization control for Markov jump neural networks under hybrid cyber-attacks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
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