A new identification procedure for the nonlinear systems which can be described by Wiener-Hammerstein models is proposed by using correlation,multidimentional z transform,deconvolution and a simple least squares algorithm.

Necessary condition of nonlinear systems as Hammerstein model;

The paper proposes a novel method for the identification of Hammerstein model based on genetic programming.

Structural identification of nonlinear systems represented by Wiener model based on neural networks;

Considering the shortcomings of Wiener model s identification,this paper proposes a new identification method based on least squares support vector machine(LS-SVM).