THE ADAPTIVE FUZZY CONTROLLER BASED ON NEURAL NETWORK

An adaptive Fuzzy controller based on neural network is proposed in this paper. The controller which input and output is digital is composed of five layers forward structure. The premise parameters,consequent parameters and control rules can be learned from training data through learning algorithm. At last the effectiveness of this algorithm is tested by simulation.