A New Fuzzy Identification Method for Complex Systems
一种新的复杂系统模糊辨识方法

In this paper ,a new fuzzy model is presented to overcome the difficulty of using the first order Takagi Sugeno model to identify complex systems. The structure of the new model is based on the first order Takagi Sugeno model, but a nonlinear mapping is added to. In order to realize the model, a fuzzy neural network(FNN) with Kalman filter algorithm is then implemented. Simulation results show that this method is very efficient and practical.