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Data-Driven Event-Triggered Platoon Control under Denial-of-Service Attacks

Author

Listed:
  • Zengwei Li

    (Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University, Qingdao 266071, China)

  • Lin Zhu

    (Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University, Qingdao 266071, China)

  • Zhenling Wang

    (Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University, Qingdao 266071, China)

  • Weiwei Che

    (Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University, Qingdao 266071, China)

Abstract

This paper proposes an event-triggered model-free adaptive platoon control (MFAPC) solution for non-linear vehicle systems under denial-of-service (DoS) attacks. First, the non-linear vehicle system is transformed into an equivalent linear data model using the dynamic linearization technique. Second, to save limited communication resources and reduce the influence of cyber attacks, a novel event-triggered mechanism and attack compensation method are designed. Then, based on the equivalent linear data model, a new resilient event-triggered MFAPC algorithm is developed to achieve the vehicle platoon control objective under DoS attacks. Finally, the effectiveness of the proposed control scheme is verified using an example.

Suggested Citation

  • Zengwei Li & Lin Zhu & Zhenling Wang & Weiwei Che, 2022. "Data-Driven Event-Triggered Platoon Control under Denial-of-Service Attacks," Mathematics, MDPI, vol. 10(21), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:3985-:d:954770
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    References listed on IDEAS

    as
    1. Jingyang Mao & Ying Sun & Xiaojian Yi & Hongjian Liu & Derui Ding, 2021. "Recursive filtering of networked nonlinear systems: a survey," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(6), pages 1110-1128, April.
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