Identification of Hammerstein and Wiener Models Using Spectral Magnitude Matching
نویسندگان
چکیده
The problem of the identification of Hammerstein and Wiener models is considered in this paper. The suggested approach in this paper utilizes the spectral magnitude matching method that minimizes the sum squared error between the spectral magnitudes evaluated for a number of short-time frames of the measured output signal of the nonlinear system and the output signal of the nonlinear model. The coefficients of Hammerstein and Wiener models are estimated using the generalized Newton iterative algorithm. Simulation results show that the suggested approach gives very good results especially for moderate and high signal to noise ratios.
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