Frequency domain identification of Hammerstein models

Frequency domain identification of Hammerstein models

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...

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Veröffentlicht in:IEEE transactions on automatic control 2003-04, Vol.48 (4), p.530-542
1. Verfasser: BAI, Er-Wei
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Automatic control
Computer science
control theory
systems
Control theory. Systems
Convergence
Exact sciences and technology
Frequency domain analysis
Frequency domains
Harmonics
Iterative methods
Least squares methods
Linear systems
Modelling and identification
Noise
Noise generators
Nonlinear systems
Nonlinearity
Parameter estimation
Resonant frequency
System identification
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Beschreibung
Zusammenfassung: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.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2003.809803