State feedback predictive control based on T-S fuzzy model and state estimator

Abstract

A T-S fuzzy model is used as predictive model to get estimated value of output, and corrects the estimated output value by using the available process variable. Then in terms of optimal control theory, the control law, which is used to control the whole system, is calculated by the corrected estimated value and set-point. State estimator is introduced into state feedback predictive control based on T-S fuzzy model to estimate immeasurable state and solve the problem caused by immeasurable state when solving state feedback predictive control law. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.