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<p>This paper is dedicated to studying the event-based consensus tracking control problem of leader-following multi-agent systems under hybrid attacks. First, different from conventional event-triggered mechanisms, a dynamic memory event-triggered mechanism is designed to decrease the frequency of communication between agents, which relies on historical error data and instantaneous error data and considers the cumulative impact of historical data on the system. Then, an improved asymmetric Lyapunov-Krasovskii function is presented. Based on the integral inequality and Lyapunov theorem, some stability conditions of multi-agent systems under hybrid attacks are obtained by solving linear matrix inequality. Finally, two simulation examples are given to verify the feasibility and superiority of the proposed method.</p>

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Consensus Tracking Control of Multi-Agent Systems Under Hybrid Attacks Based on Dynamic Memory Event-Triggered Mechanism

  • 期刊论文

  • 发表日期：

    2026年5月20日

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  • Wenhui Xiao,
  • Xiao-Jie Peng,
  • Yan Lei,
  • Guangdeng Chen,
  • Hongyi Li

摘要

This paper is dedicated to studying the event-based consensus tracking control problem of leader-following multi-agent systems under hybrid attacks. First, different from conventional event-triggered mechanisms, a dynamic memory event-triggered mechanism is designed to decrease the frequency of communication between agents, which relies on historical error data and instantaneous error data and considers the cumulative impact of historical data on the system. Then, an improved asymmetric Lyapunov-Krasovskii function is presented. Based on the integral inequality and Lyapunov theorem, some stability conditions of multi-agent systems under hybrid attacks are obtained by solving linear matrix inequality. Finally, two simulation examples are given to verify the feasibility and superiority of the proposed method.