DocumentCode
391200
Title
Frequency domain identification of Hammerstein models
Author
Bai, Er-Wei
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Volume
1
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
1011
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.
Keywords
Fourier transforms; convergence; frequency-domain analysis; identification; nonlinear systems; probability; transfer functions; Fourier transform; Hammerstein model; frequency domain analysis; harmonics; identification; nonlinearity; probability; sampled input-output data; transfer function; Filters; Fourier series; Frequency domain analysis; Frequency estimation; Integrated circuit modeling; Linear systems; Noise figure; Noise generators; State estimation; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184642
Filename
1184642
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