Identification of Hammerstein nonlinear ARMAX systems

Abstract

Two identification algorithms, an iterative least-squares and a recursive least-squares, are developed for Hammerstein nonlinear systems with memoryless nonlinear blocks and linear dynamical blocks described by ARMAX/CARMA models. The basic idea is to replace unmeasurable noise terms in the information vectors by their estimates, and to compute the noise… (More)
DOI: 10.1016/j.automatica.2005.03.026

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