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Event-based secure consensus of muti-agent systems under asynchronous DoS attacks

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  • Chang, Beibei
  • Mu, Xiaowu
  • Yang, Zhe
  • Fang, Jianyin

Abstract

This paper studies the problem of event-based secure consensus for multi-agent systems subject to asynchronous denial of service attacks. The case that the communication network of multi-agent systems only contains a directed spanning tree is considered. Subsequently, we conduct a precise analysis of frequency and duration of denial of service attacks. Then, we regard the multi-agent system suffering from the invalid denial of service attack as a multi-agent system with switching topology, and adopt the control method of dealing with the switching topology to reduce the impact of invalid denial of service attacks on the multi-agent system. In addition, we propose a event-triggered resilient control mechanism, which enables multi-agent systems to reach consensus at an exponentially convergent speed, and prevents multi-agent systems from Zeno behavior, thereby avoiding continuous communication between agents. A simulation example is given to verify the correctness of the theoretical analysis.

Suggested Citation

  • Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    • Handle: RePEc:eee:apmaco:v:401:y:2021:i:c:s0096300321001685
    DOI: 10.1016/j.amc.2021.126120
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    References listed on IDEAS

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    1. Wang, Dongji & Chen, Fei & Meng, Bo & Hu, Xingliu & Wang, Jing, 2021. "Event-based secure H∞ load frequency control for delayed power systems subject to deception attacks," Applied Mathematics and Computation, Elsevier, vol. 394(C).
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    Cited by:

    1. Wang, Boyu & Zhang, Yijun & Wei, Miao, 2023. "Fixed-time leader-following consensus of multi-agent systems with intermittent control," Applied Mathematics and Computation, Elsevier, vol. 438(C).
    2. Zhu, Fanglai & Du, Wenqing, 2024. "Observer-based consensus of multi-agent systems under odd distributed impulsive control protocol," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    3. Chang, Beibei & Zhu, Chuanxi, 2022. "Edge-based dynamic event-triggered mean square consensus control for stochastic multi-agent systems under weight-balanced digraph," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    4. Li, Xin & Wei, Guoliang & Ding, Derui, 2021. "Distributed resilient interval estimation for sensor networks under aperiodic denial-of-service attacks and adaptive event-triggered protocols," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    5. Chen, Qi-Xin & Chang, Xiao-Heng, 2022. "Resilient filter of nonlinear network systems with dynamic event-triggered mechanism and hybrid cyber attack," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    6. Oliveira, Pedro M. & Palma, Jonathan M. & Lacerda, Márcio J., 2022. "H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    7. Ma, Yong-Sheng & Che, Wei-Wei & Deng, Chao, 2022. "Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks," Applied Mathematics and Computation, Elsevier, vol. 421(C).
    8. Ye, Hu & Cheng, Peng & Zhang, Xiang & He, Shuping & Zhang, Weidong, 2023. "Event-triggered-based H∞ control for Markov jump cyber-physical systems against denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 451(C).
    9. Guo, Junfeng & Wang, Fei & Xue, Qianwen & Wang, Mengqing, 2023. "Cluster synchronization control for coupled genetic oscillator networks under denial-of-service attacks: Pinning partial impulsive strategy," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    10. Ma, Yan & Zhang, Zhenzhen & Yang, Li & Chen, Hao & Zhang, Yihao, 2022. "A resilient optimized dynamic event-triggered mechanism on networked control system with switching behavior under mixed attacks," Applied Mathematics and Computation, Elsevier, vol. 430(C).

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