Abstract
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 <inline-formula><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> performance. Finally, a practical example is employed to reflect the validity of the approach.
| Original language | English |
|---|---|
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Fuzzy Systems |
| DOIs | |
| State | Accepted/In press - 2024 |
Keywords
- Adaptive systems
- An AET scheme
- Cyberattack
- Fuzzy systems
- IT-2 fuzzy systems
- Jamming
- multiple cyber attacks
- Observers
- state observer
- Switches
- Symmetric matrices