Identification of Hammerstein nonlinear ARMAX systems


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

9 Figures and Tables



Citations per Year

325 Citations

Semantic Scholar estimates that this publication has 325 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics