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Data-Driven Prescribed Performance Platooning Control Under Aperiodic Denial-of- Service Attacks

Author

Listed:
  • Peng Zhang

    (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

    (State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

Abstract

This article studies a data-driven prescribed performance platooning control method for nonlinear connected automated vehicle systems (CAVs) under aperiodic denial-of-service (DoS) attacks. Firstly, the dynamic linearization technique is employed to transform the nonlinear CAV system into an equivalent linearized data model. Secondly, to improve the system’s transient performance, a prescribed performance transformation (PPT) scheme is proposed to transform the constrained output into the unconstrained one. In addition, an attack compensation mechanism is designed to reduce the adverse impact. Combining the PPT scheme and the attack compensation mechanism, the data-driven adaptive platooning control scheme is proposed to achieve the vehicular tracking control task. Lastly, the merits of the developed control method are illustrated by an actual simulation.

Suggested Citation

  • Peng Zhang & Zhenling Wang & Weiwei Che, 2024. "Data-Driven Prescribed Performance Platooning Control Under Aperiodic Denial-of- Service Attacks," Mathematics, MDPI, vol. 12(21), pages 1-16, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3313-:d:1504148
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