Robust Nonfragile H-infinity Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties
This paper is concerned with the H-infinity filtering problem for continuous-time Takagi-Sugeno (T-S) fuzzy systems. Different from existing results for fuzzy H-infinity filtering, the proposed ones are toward uncertain fuzzy systems with linear fractional parametric uncertainties. Attention is focused on the design of a fuzzy filter such that the filtering error system preserves a prescribed H-infinity performance, where the filter to be designed is assumed to have gain variations. By a descriptor representation approach, two sufficient conditions for the H-infinity filter design are proposed in terms of linear matrix inequalities (LMIs). When these LMIs are feasible, an explicit expression of the desired filter is given. A simulation example will be given to show the efficiency of the proposed methods.
nonfragile h-infinity filtering linear fractional parametric uncertainties continuous-time takagi-sugeno (t-s) fuzzy systems linear matrix inequalities (lmis)