Frequency domain identification of Hammerstein models

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Conference object 01 Apr 2003Publisher:IEEEJournal:Proceedings of the 41st IEEE Conference on Decision and Control, 2002., volume 1, pages 1,011-1,016

Authors: Er-Wei Bai;

doi: 10.1109/cdc.2002.1184642 , 10.1007/978-1-84996-513-2_11 , 10.1109/tac.2003.809803

Frequency domain identification of Hammerstein models

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Abstract

This paper discusses Hammerstein model identification in frequency domain using the sampled input-output data. By exploring the fundamental frequency and harmonics generated by the unknown nonlinearity, we propose a frequency domain approach and show its convergence for both the linear and nonlinear subsystems in the presence of noise. No a priori knowledge of the structure of the nonlinearity is required and the linear part can be non-parametric.

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University of Iowa
United States

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