Decentralized Non-Fragile Event-Triggered ${{H}_{\infty}}$ Filtering for Large-Scaled Power System Based on T-S Fuzzy Model

Considering the characteristics of the large-scaled power system and the communication networks, this paper studies the decentralized non-fragile H
_∞
filtering for the large-scaled power system with the event-triggered strategy. The Takagi-Sugeno fuzzy model is used to approximate the system. Different from traditional time-triggered control, each subsystem transmits the output only when the defined error exceeds a given threshold in event-triggered control. Moreover, a non-fragile event-triggered H
_∞
filtering with additive uncertainties is designed to solve the sensitive problem of the sensors. By applying a Lyapunov-Krasovskii functional and linear matrix inequalities, a method of decentralized event-triggered H
_∞
filtering design is developed for the overall filtering error system concerned to be asymptotically stable with a given disturbance attenuation level. A simulation is finally given to show these effective methods in this paper.