Identification and control based on T-S fussy model

A T-S fuzzy model was established for nonlinear system by a fuzzy identification method,fuzzy predictive control was developed by combining with generalized predictive control.Structure and parameters of T-S fuzzy model were identified by using fuzzy clustering and recursive least squares.In terms of the nonlinear system,T-S fuzzy model has a good description of features,combined with the moving optimization of generalized predictive control to achieve effective control of nonlinear systems.The simulation results show that the algorithm is effective.