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
Link To Document :
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