A Direct Adaptive Predictive Functional Control Based on T-S Fuzzy Model

An adaptive predictive functional control algorithm based on T-S fuzzy model for discrete-time nonlinear systems is proposed. In this algorithm the consequent parameters of T-S fuzzy model are identified by the weighting recursive least square method. Parameters of the fuzzy model are used to directly recursively compute the model prediction output, and needn't solve Diophantine equations. Analysis solution of the predictive control input is derived. Simulation result shows that the proposed algorithm is an effective control strategy with excellent tracing ability and strong robustness