Event-Triggered Adaptive NN Control for a Class of Nonlinear Systems under DoS Attack
In this paper,the resilient control issue towards a class of unknown nonlinear systems under denial-of-service attacks is studied.The event-triggered adaptive neural network controller is designed by using the backstepping method,neu-ral network approximation and event-triggering mechanism.The introduced event-triggering mechanism is proved to avoid Ze-no behavior.Based on the statement,considering the influence of denial-of-service attack,the resilient event-triggered control-ler is designed.The Lyapunov stability theory is used to prove that the closed-loop system can maintain the stability under de-nial-of-service attack.Finally,a single connecting-rod manipulator system is used to verify the effectiveness of the designed control strategy.
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维普
