Observer-Based Adaptive Event-Triggered Control for Interval Type-2 Fuzzy Systems Under Multiple Cyber-Attacks

This article focuses on the observer-based event-triggered (ET) scheme issue for interval type-2 (IT-2) fuzzy systems under the multiple cyber-attacks including false data injection (FDI) attacks and denial-of-service (DoS) attacks. Considering both intermittency of DoS attacks and unmeasurable of partial systems, a switched observer-based nonlinear systems in the form of IT-2 fuzzy models is established. An adaptive event-triggered (AET) scheme that can modulate the threshold value is proposed for better saving the communication resources. Considering the impact of stochastic FDI attacks, a switched AET controller is designed. Then, Lyapunoval analysis method is developed such that the augmented error IT-2 fuzzy systems is mean square exponentially stable with $H_\infty$ performance. Finally, a practical example is employed to reflect the validity of the approach.