DocumentCode
3126993
Title
Subspace intersection identification of Hammerstein-Wiener systems
Author
Goethals, Ivan ; Pelckmans, Kristiaan ; Hoegaerts, Luc ; Suykens, Johan ; Moor, Bart De
Author_Institution
KULeuven - ESAT - SCD/SISTA, Kasteelpark Arenberg 10, B-3001 Leuven (Heverlee), Belgium, Ivan.Goethals@esat.kuleuven.ac.be.
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
7108
Lastpage
7113
Abstract
In this paper, a method for the identification of Hammerstein-Wiener systems is presented. The method extends the linear subspace intersection algorithm, mainly by introducing a kernel canonical correlation analysis (KCCA) to calculate the state as the intersection of past and future. The linear model and static nonlinearities are obtained from a regression problem using componentwise Least Squares Support Vector Machines (LS-SVMs).
Keywords
Algorithm design and analysis; Iterative methods; Kernel; Least squares approximation; Least squares methods; Linear systems; MIMO; Mathematical model; State estimation; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1583307
Filename
1583307
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