摘要：Takagi-Sugeno(T-S) fuzzy model is difficult to be linearized because of membership functions ***,novel T-S fuzzy state transformation and T-S fuzzy feedback are proposed for the linearization of T-S fuzzy *** novel T-S fuzzy state transformation is the fuzzy combination of local linear transformation which transforms local linear models in the T-S fuzzy model into the local linear controllable canonical *** fuzzy combination of local linear controllable canonical model gives controllable canonical T-S fuzzy model and then nonlinear feedback is obtained *** the linearization of T-S fuzzy model,a robust H∞ controller with the robustness of sliding model control(SMC) is *** a result,controlled T-S fuzzy system shows the performance of H∞ control and the robustness of SMC.