Nonlinear System Identification Based on Adaptive Neural Fuzzy Inference System

System identification is the basis of designing control system, and it is very difficulty to identify the nonlinear system today. A new identification method of nonlinear system based adaptive neural fuzzy inference system (ANFIS) is provided in this paper, which assembles the advantages of fuzzy theory and neural networks. The structure and algorithms of ANFIS is introduced firstly, then a nonlinear function is tested using the method, and the simulation results show that ANFIS is very effective to identify the nonlinear system