DocumentCode
425005
Title
Recursive identification of systems with hard input nonlinearities of known structure
Author
Giri, F. ; Rochdi, Y. ; Chaoui, F.Z.
Author_Institution
ISMRA, Caen, France
Volume
5
fYear
2004
fDate
June 30 2004-July 2 2004
Firstpage
4764
Abstract
We are considering nonlinear system identification using Hammerstein model, where the linear and nonlinear elements are both of known structure. The static gain may be discontinuous and is not linear in the (unknown) parameters. The focus is made on the case of a two-segment piecewise-linear gain with a preload and/or a dead zone. A recursive identification scheme is designed to determine the models of both the plant dynamics and the static gain. It involves a gradient algorithm, a singular value decomposition and an ad-hoc input sequence that ensures persistent excitation.
Keywords
control nonlinearities; gradient methods; identification; nonlinear control systems; piecewise linear techniques; singular value decomposition; Hammerstein model; ad-hoc input sequence; gradient algorithm; nonlinear system identification; singular value decomposition; systems recursive identification; two-segment piecewise-linear gain;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2004. Proceedings of the 2004
Conference_Location
Boston, MA, USA
ISSN
0743-1619
Print_ISBN
0-7803-8335-4
Type
conf
Filename
1384066
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