Resilient Event-Triggered Dynamic Output Feedback Control for Networked Takagi–Sugeno Fuzzy Systems Under Denial-of-Service Attacks

Owing to the deep integration of intelligent control, big data and communication, networked Takagi–Sugeno fuzzy control systems is widely studied and applied to the real-world scenarios. This paper studies the issue of resilient event-triggered dynamic output feedback controller design of networked Takagi–Sugeno fuzzy systems under denial-of-service (DoS) attacks launched by adversaries. Considering the types of the attack limited by frequency and duration, a resilient event-triggered mechanism is established to resist the impact of DoS attacks and improve resource utilization efficiency, and two new switched fuzzy system models are constructed by integrating the underlying system and the event-based static and dynamic output feedback intelligent controllers. Then sufficient conditions are obtained to guarantee that the switched systems are exponential stable and then the control gains are designed by using a novel iterative algorithm. Finally, two examples are employed to verify the effectiveness of the developed method.