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<p>This paper addresses the challenge of achieving prescribed-time mean-square practical consensus control for multi-agent systems under hybrid network attacks, utilizing dynamic event-triggered mechanisms. Markov switching topologies are adopted to model DoS attacks that are challenging to detect. To mitigate the impact of deception attacks on system consensus, a resilient controller is introduced, integrating a prescribed-time strategy with dynamic event-triggered schemes. This controller not only effectively reduces the influence of deception attacks on consensus but also minimizes the system’s overall energy consumption within the prescribed time frame. By constructing an appropriate Lyapunov function, sufficient conditions for achieving mean-square practical consensus within the prescribed time are derived and presented in the form of linear matrix inequalities. These conditions offer valuable insights for selecting suitable controller and event-triggering parameters. The proposed method’s effectiveness is validated through a series of simulations, demonstrating its ability to maintain robust consensus even in the presence of hybrid attacks.</p>

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Dynamic event-based prescribed-time practical consensus for nonlinear multi-agent systems under DoS and deception attacks

  • 期刊论文

  • 发表日期：

    2025年2月17日

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  • Haotian Wang,
  • Yanqian Wang,
  • Guangming Zhuang,
  • Jianwei Xia

摘要

This paper addresses the challenge of achieving prescribed-time mean-square practical consensus control for multi-agent systems under hybrid network attacks, utilizing dynamic event-triggered mechanisms. Markov switching topologies are adopted to model DoS attacks that are challenging to detect. To mitigate the impact of deception attacks on system consensus, a resilient controller is introduced, integrating a prescribed-time strategy with dynamic event-triggered schemes. This controller not only effectively reduces the influence of deception attacks on consensus but also minimizes the system’s overall energy consumption within the prescribed time frame. By constructing an appropriate Lyapunov function, sufficient conditions for achieving mean-square practical consensus within the prescribed time are derived and presented in the form of linear matrix inequalities. These conditions offer valuable insights for selecting suitable controller and event-triggering parameters. The proposed method’s effectiveness is validated through a series of simulations, demonstrating its ability to maintain robust consensus even in the presence of hybrid attacks.