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Dual-channel triggered fuzzy adaptive output feedback control for uncertain nonlinear systems with deception attacks

Author

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  • An, Yaxin
  • Liu, Yongchao
  • Wang, Haiyu

Abstract

In this article, a fuzzy adaptive dual-channel triggered control (DCTC) method is presented for uncertain nonlinear systems (UNS) with unobservable states and malicious deception attacks. First, a dynamic event-triggered mechanism is equipped in the sensor channel, and then the attacked output signal is triggered to save data transmission. Based on the triggered output signal, a fuzzy observer is constructed to estimate unmeasured states. Next, a self-triggered protocol is equipped in the controller channel to determine the next triggered instant without the continuous monitoring device. Moreover, parameter adaptive laws and the DCTC strategy are designed by applying backstepping with the dynamic filter technique. The application of Lyapunov theory demonstrates the stability of the closed-loop system, and the effective prevention of Zeno behavior is ensured. Simulation results and analysis manifest the efficacy of the derived method.

Suggested Citation

  • An, Yaxin & Liu, Yongchao & Wang, Haiyu, 2025. "Dual-channel triggered fuzzy adaptive output feedback control for uncertain nonlinear systems with deception attacks," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:chsofr:v:191:y:2025:i:c:s0960077924014814
    DOI: 10.1016/j.chaos.2024.115929
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