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Event-triggering adaptive neural network output feedback control for networked systems under false data injection attacks

Author

Listed:
  • Zhao, Dongke
  • Shi, Michael
  • Zhang, Huiyan
  • Liu, Yongchao
  • Zhao, Ning

Abstract

This paper investigates the event-triggering adaptive neural network (NN) output feedback control problem for networked control systems subject to false data injection (FDI) attacks. To reduce unnecessary data transmission, an event-triggered mechanism (ETM) related to the measured output is designed on the channel of the sensor-to-observer. Meanwhile, a novel ETM associated with the observer state and parameter estimation signal is devised on the channel of the observer-to-controller to save communication resources on the controller-to-actuator channel. Subsequently, NN technique is employed to approximate FDI attacks, then an adaptive neural output feedback controller is designed to counteract the impact of FDI attacks on the system. Sufficient conditions for the semi-globally uniformly ultimately bounded of the system are obtained by means of the Lyapunov function. Additionally, a co-design scheme for the control gain, observer gain and event-triggered parameters is presented. Finally, a practical example is given to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924001358
    DOI: 10.1016/j.chaos.2024.114584
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    References listed on IDEAS

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    1. Jahanshahi, Hadi & Yao, Qijia & Alotaibi, Naif D., 2024. "Fixed-time nonsingular adaptive attitude control of spacecraft subject to actuator faults," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    2. Guha, Dipayan, 2023. "Non-integer disturbance observer-aided resilient frequency controller applied to hybrid power system," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    3. 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.
    4. Shen, Zhihao & Zhang, Liang & Niu, Ben & Zhao, Ning, 2023. "Event-based reachable set synthesis for delayed nonlinear semi-Markov systems," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
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    Cited by:

    1. Tian, Yongjie & Zhang, Huiyan & Liu, Yongchao & Zhao, Ning & Mathiyalagan, Kalidass, 2024. "Dynamic event-triggered adaptive neural control for MIMO nonlinear CPSs with time-varying parameters and deception attacks," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).

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