Fuzzy sampled-data H∞ filtering for systems with time-varying delays and variable sampling periods

The sampled-data H_∞ filtering for a Takagi-Sugeno (T-S) model-based fuzzy system with an interval time-varying state delay and a variable sampling period is considered. A new Lyapunov-Krasovskii functional is constructed by utilizing more information about the system´s current state and the delayed state. Based on the new Lyapunov-Krasovskii functional and a novel inequality bounding technique, a suitable sampled-data fuzzy H_∞ filter is designed to ensure the asymptotic stability and prescribed H_∞ attenuation level of the filter error system. A numerical example and a modified continuous stirred tank reactor (CSTR) system are given to illustrate the effectiveness of the proposed method.