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Robust control with protected feedback information for switched systems under injection attacks

Author

Listed:
  • Wang, Chen
  • Qi, Yiwen
  • Tang, Yiwen
  • Li, Xin
  • Ji, Ming

Abstract

In this paper, the robust security protection control for switched systems is studied. A robust anti-disturbance mechanism using the Radial Basis Function Neural Network (RBFNN) is proposed for switched systems, which can approximate and compensate for the impact of unknown disturbance on the system state. Then, a network security protection mechanism based on encoder and decoder is presented, which has the ability to resist the dual impact on the feedback information caused by the network privacy snooping and data injection attacks. Accordingly, stability analysis and state-feedback controller design are given for the switched systems under unknown disturbance, network privacy snooping and injection attacks. Finally, simulation results illustrate the effectiveness of the proposed method.

Suggested Citation

  • Wang, Chen & Qi, Yiwen & Tang, Yiwen & Li, Xin & Ji, Ming, 2024. "Robust control with protected feedback information for switched systems under injection attacks," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    • Handle: RePEc:eee:apmaco:v:475:y:2024:i:c:s0096300324001863
    DOI: 10.1016/j.amc.2024.128714
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    References listed on IDEAS

    as
    1. Zhao, Younan & Gu, Peng & Zhu, Fanglai & Liu, Tianyi & Shen, Runjie, 2023. "Security control scheme for cyber-physical system with a complex network in physical layer against false data injection attacks," Applied Mathematics and Computation, Elsevier, vol. 447(C).
    2. Liu, Lijun & Chen, Mou & Li, Tao, 2022. "Disturbance observer-based robust coordination control for unmanned autonomous helicopter slung-load system via coupling analysis method," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    3. Xue, Yanmei & Ren, Wen & Zheng, Bo-Chao & Han, Jinke, 2022. "Event-triggered adaptive sliding mode control of cyber-physical systems under false data injection attack," Applied Mathematics and Computation, Elsevier, vol. 433(C).
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