Abstract
Stabilization of type-2 fuzzy system in the presence of cyber attacks is investigated in this article. For a practical application, a class of nonlinear system can be represented by an interval type-2 fuzzy system through a set of membership functions. Unlike existing schemes, 1) affine membership functions are considered in the controller design; moreover, 2) a robust adaptive event-triggered control is proposed to avoid the unwanted triggering events, which makes the proposed scheme more reliable and relaxes the conservativeness of stability analysis.In the numerical simulation, the mass-spring-damper system and the tracking control system are considered to illustrate the robustness and effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Article number | 9107420 |
| Pages (from-to) | 322-335 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 29 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2021 |
Keywords
- Affine transformed interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems
- cyber-physical systems (CPSs)
- deception attacks
- event-triggered control (ETC)
- linear matrix inequalities (LMIs)