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.
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;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583307
