Observer-Based Adaptive Event-Triggered Control for Interval Type-2 Fuzzy Systems Under Multiple Cyber-Attacks
Yajuan Liu, Pengcheng Zhang, Sangmoon Lee, Xiangpeng Xie · IEEE Transactions on Fuzzy Systems · 2024
This paper 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 interval type-2 (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.