Abstract
Considering the characteristics of the large-scaled power system and the communication networks, this paper studies the decentralized non-fragile ${H_\infty }$ 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 ${H_\infty }$ 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 ${H_\infty }$ 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.
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