Robust Takagi-Sugeno observer with immeasurable premise variables: a Type-2 approach

AbstractThis paper deals with the problem of state estimation of non-linear uncertain systems described by uncertain Takagi-Sugeno model form with immeasurable decision variable. We propose a new method which takes into account the uncertainties of the model based on Type 2 Fuzzy sets approach. The adopted framework is based on the Lyapunov theory and uses the linear matrix inequality.