An Adaptive Modeling Method Based on T-S Fuzzy Models and Its Application

On the basis of partitioning the input-output space using FCM method, a modified algorithm of parameters identification and adaptation is presented based on the T-S fuzzy RBF neural network model. This model is used to predict yield of acrylonitrile and the simulation results demonstrate the effectiveness of this new adaptive T-S fuzzy model.