Approximation Precision Analysis of Typical Nonlinear Model Identification Using Fuzzy System
Chen Chao · Mohu xitong yu shuxue · 2008
Based on the different nonlinear peculiarities,several nonlinear models have been defined.The fuzzy identification method is regarded as a powerful instrument in nonlinear system identification.In this paper,we studied about three nonlinear models which are Hammerstein model,Wiener model and singular model.These models will be identified by using the T-S fuzzy model,and the influences in fuzzy model accuracy which are brown by the different nonlinear structures will be seen from the simulation data.Based on the same rank and the same queue of training and test input,the triangle membership function,clustering membership function and gauss membership function were applied to prove.The simulation shows the approximation precision of the above nonlinear models.