DocumentCode
2242061
Title
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models
Author
Laurain, V. ; Gilson, M. ; Garnier, H. ; Young, P.C.
Author_Institution
Centre de Rech. en Autom. de Nancy, CNRS, Vandoeuvre-les-Nancy, France
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
1386
Lastpage
1391
Abstract
This article presents instrumental variable methods for direct continuous-time estimation of a Hammerstein model. The non-linear function is a sum of known basis functions and the linear part is a Box-Jenkins model. Although the presented algorithm is not statistically optimal, this paper further shows the performance of the presented algorithms and the advantages of continuous-time estimation on relevant simulations.
Keywords
continuous time systems; identification; nonlinear functions; Hammerstein continuous-time Box-Jenkins model identification; direct continuous-time estimation; nonlinear function; nonlinear identification; refined instrumental variable methods; Design methodology; Environmental management; Instruments; Least squares approximation; Linear systems; Neural networks; Piecewise linear techniques; Predictive models; Support vector machine classification; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4738853
Filename
4738853
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