Security Filter Design for T-S Fuzzy System with Adaptive Event-Triggered Mechanism and Multiple Attacks

This paper studies the security filter design problem for Takagi-Sugeno (T-S) fuzzy systems with adaptive event-triggered mechanism (AETM) and hybrid cyber-attacks. Firstly, a hybrid cyber-attacks model is established for the T-S fuzzy system, which includes deception attacks, replay attacks and DoS attacks. Secondly, in order to reduce unnecessary waste of network bandwidth resources, an adaptive event-triggered mechanism is introduced, which can adaptively adjust the trigger condition threshold. Then, by considering hybrid cyber-attacks and adaptive event-triggered mechanism, a filter error model is established. Furthermore, based on the Lyapunov-Krasocskii stability theory, sufficient conditions are obtained to ensure the stability of the system, and the parameters of the designed filter are clearly given. Finally, a simulation example is given to illustrate the effectiveness of the method.