Research on identification of hammerstein model based on hsia algorithm

To deal with the problems of repeated filtering and low computation efficiency while parameters identification of Hammerstein model, using generalised least squares (GLS) algorithm, a novel identification method for Hammerstein model based on Hsia algorithm is proposed. The solution resulted from this algorithm is unbiased. Since there is no filter in Hsia algorithm, this method eliminates effect of reducing computation efficiency from the nonlinear gain of high order. Simulation showed that Hsia algorithm is well convergent and runs much faster than GLS algorithm.