Study and Stability Analysis of State Feedback Predictive Control Based on Fuzzy Inference

A new predictive control algorithm based on T-S model's fuzzy inference is proposed. The predictive control is designed by using T-S fuzzy model as predictive model of the state feedback predictive control. The stability of the closed loop feedback system is analyzed and two sufficient conditions for global asymptotic stability are given. The algorithm utilizes T-S fuzzy model to get the state and output estimated value, and corrects the output estimated value by using the measurable process variable. Then in terms of optimal control theory, the control movement, which is used to control the whole system, is calculated by the corrected estimated value and set-point value. The inverted pendulum system is also simulated with various initial states. The simulation result shows the effectiveness and feasibility of the proposed method