Generation of enhanced initial estimates for Hammerstein Systems

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Abstract

Hammerstein systems are nonlinear models that are used in many domains for their simplicity and physical meaning. This paper presents a simple iterative method for generating good starting values which can be used to innitialize the numerical nonlinear optimization of the cost function. In the absence of model errors, the presented method is proven to converge locally to the true model values in the noise-less case.
Original languageEnglish
Pages (from-to)1269-1273
JournalAutomatica
Volume40
Issue number7
Publication statusPublished - 1 Jul 2004

Bibliographical note

Automatica Vol. 40, No. 7, July 2004, pp. 1269-1273

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