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This paper focuses on the safety control problem of the active suspension system (ASS) via an optimal dynamic event-triggered (ODET) mechanism, in which denial-of-service (DoS) attacks are considered. First, a joint model incorporating both a DET mechanism and the DoS attacks is constructed to alleviate the communication burden of the ASS under insecure network conditions. Secondly, a bio-inspired metaheuristic algorithm is employed to solve the design parameters of the ODET mechanism. Thirdly, the existence condition of an ODET controller is derived to achieve an optimal trade-off between control performance and the communication burden of the ASS. Finally, simulation results are conducted to verify the effectiveness and advantages of the proposed ODET control strategy.

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Optimal Event-Triggered Safety Control of Active Suspension Systems with Bio-inspired Metaheuristic Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Jingang Dong,
  • Zhengchao Xie,
  • Wenfeng Li,
  • Jing Zhao

摘要

This paper focuses on the safety control problem of the active suspension system (ASS) via an optimal dynamic event-triggered (ODET) mechanism, in which denial-of-service (DoS) attacks are considered. First, a joint model incorporating both a DET mechanism and the DoS attacks is constructed to alleviate the communication burden of the ASS under insecure network conditions. Secondly, a bio-inspired metaheuristic algorithm is employed to solve the design parameters of the ODET mechanism. Thirdly, the existence condition of an ODET controller is derived to achieve an optimal trade-off between control performance and the communication burden of the ASS. Finally, simulation results are conducted to verify the effectiveness and advantages of the proposed ODET control strategy.