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This paper presents a parameter identification method of nonlinear Hammerstein model with two-segment piecewise nonlinearities. Its basic idea is that: First of all, expressing the output of the Hammerstein nonlinear models as a regressive equation in all parameters based on the key term separation principle and separating key term from linear block and nonlinear block. Then, the unknown true outputs...
An identification method of Hammerstein model is investigated in this paper. First of all, the key term separation technique is introduced. Next, an auxiliary model is established. Accordingly, the identification problem of the Hammerstein model is cast as nonlinear function optimization problem over parameter space. Then, the estimation values of the parameters of the model are obtained based on...
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