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Command filtering event-triggered secure control for nonlinear cyber-physical systems under denial-of-service attacks and input saturation

Author

Listed:
  • Zhen Gao
  • Ning Zhao
  • Ning Xu
  • Ben Niu
  • Xudong Zhao

Abstract

For nonlinear cyber-physical systems (CPSs) with input saturation and denial-of-service (DoS) attacks, an adaptive secure control strategy is investigated in this paper. To estimate the unmeasurable states, a novel switched neural network (NN) observer is designed, where two sub-observers can be freely switched from each other. Considering unnecessary packet transmissions, an improved event-triggered mechanism (ETM) is introduced to reduce the communication burden in the controller-to-actuator channel. In addition, in order to simultaneously solve the input saturation and unknown control direction problems, a Nussbaum-type function is introduced to the control design process. Finally, it is proven that all closed-loop signals are the semiglobal uniformly ultimately bounded, and simulation results demonstrate the effectiveness of the proposed secure control scheme.

Suggested Citation

  • Zhen Gao & Ning Zhao & Ning Xu & Ben Niu & Xudong Zhao, 2024. "Command filtering event-triggered secure control for nonlinear cyber-physical systems under denial-of-service attacks and input saturation," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(9), pages 1851-1867, July.
  • Handle: RePEc:taf:tsysxx:v:55:y:2024:i:9:p:1851-1867
    DOI: 10.1080/00207721.2024.2322077
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    Cited by:

    1. Junzhong Zou & Kai Wang & Keke Zhang & Murizah Kassim, 2024. "Perspective of virtual machine consolidation in cloud computing: a systematic survey," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(2), pages 257-285, October.
    2. Zhao, Dongke & Shi, Michael & Zhang, Huiyan & Liu, Yongchao & Zhao, Ning, 2024. "Event-triggering adaptive neural network output feedback control for networked systems under false data injection attacks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).

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