DocumentCode
1180192
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
48
Issue
4
fYear
2003
fDate
4/1/2003 12:00:00 AM
Firstpage
530
Lastpage
542
Abstract
Discusses Hammerstein model identification in the frequency domain using 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 nonparametric.
Keywords
continuous time systems; curve fitting; frequency response; identification; nonlinear systems; nonparametric statistics; sampled data systems; Hammerstein models; convergence; frequency domain identification; fundamental frequency; harmonics; linear subsystems; noise; nonlinear subsystems; sampled input-output data; Convergence; Frequency domain analysis; Helium; Iterative methods; Least squares methods; Linear systems; Noise generators; Nonlinear systems; Parameter estimation; System identification;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2003.809803
Filename
1193733
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