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Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks

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  • Guo, Shiyu
  • Zhao, Xudong
  • Wang, Huanqing
  • Xu, Ning

Abstract

In this paper, the consensus tracking control problem is investigated for a class of heterogeneous switched nonlinear multiagent systems (MASs) with input quantization under denial-of-service (DoS) attacks, where first-order agents and second-order agents exist simultaneously, and each agent shows the switching characteristic. Due to the prevalence of DoS attacks in communication channels, a DoS attack model is constructed in this study, and the upper bounds on the duration and frequency of DoS attacks are given. Meanwhile, taking the chattering phenomena of control inputs into account, a hysteresis quantizer is introduced to overcome the issue of the undesirable input chattering. Hence, a new anti-attack distributed consensus protocol is developed such that MASs with input quantization can effectively resist the impact of DoS attacks. Based on the Lyapunov stability theory, the boundedness of all signals in the closed-loop system is verified and the consensus target can be achieved. Finally, the effectiveness of the proposed control scheme is demonstrated by two simulation examples.

Suggested Citation

  • Guo, Shiyu & Zhao, Xudong & Wang, Huanqing & Xu, Ning, 2023. "Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 456(C).
    • Handle: RePEc:eee:apmaco:v:456:y:2023:i:c:s0096300323002965
    DOI: 10.1016/j.amc.2023.128127
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    References listed on IDEAS

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    1. Haoyan Zhang & Ning Xu & Guangdeng Zong & Abdulhameed F. Alkhateeb, 2021. "Adaptive fuzzy hierarchical sliding mode control of uncertain under-actuated switched nonlinear systems with actuator faults," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(8), pages 1499-1514, June.
    2. Yanwei Zhao & Haoyan Zhang & Zhongyu Chen & Huanqing Wang & Xudong Zhao, 2022. "Adaptive neural decentralised control for switched interconnected nonlinear systems with backlash-like hysteresis and output constraints," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(7), pages 1545-1561, May.
    3. Yulin Li & Ben Niu & Guangdeng Zong & Jinfeng Zhao & Xudong Zhao, 2022. "Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(1), pages 199-221, January.
    4. Yan Cheng & Ben Niu & Xudong Zhao & Guangdeng Zong & Adil M. Ahmad, 2023. "Event-triggered adaptive decentralised control of interconnected nonlinear systems with Bouc-Wen hysteresis input," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(6), pages 1275-1288, April.
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    Cited by:

    1. Xiong, Shi-Xun & Xie, Xiang-Peng & Jiang, Guo-Ping & Chen, Meng-ting, 2024. "Prescribed time formation synchronous tracking of unmanned aerial vehicles with denial of service attacks," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    2. Zhang, Liang & Liang, Jing & Feng, Zhiguang & Zhao, Ning, 2024. "Improved results of asynchronous mixed H∞ and passive control for discrete-time linear switched system with mode-dependent average dwell time," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    3. Guo, Ming-Juan & Li, Yuan-Xin, 2024. "Estimator-based adaptive prescribed performance cooperative bipartite containment control of nonlinear multiagent system against DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 470(C).

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