An adaptive frequency-domain identification of Wiener models by using generalized rational basis functions

This paper addresses a novel adaptive algorithm method for direct identification Wiener systems by using the rational orthogonal systems. By adopting an adaptive decomposition algorithm for the Hardy space functions, identification of the linear part can be achieved with the sampling input and output data. After that the nonlinear part can be estimated with general least-squares method. Example shows the proposed algorithm is efficient.