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Author Goethals, I. ♦ Pelckmans, K. ♦ Hoegaerts, L. ♦ Suykens, J. ♦ De Moor, B.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Kernel ♦ Least squares methods ♦ Support vector machines ♦ State estimation ♦ MIMO ♦ Mathematical model ♦ Algorithm design and analysis ♦ Least squares approximation ♦ Iterative methods ♦ Linear systems
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).
Description Author affiliation: KULeuven - ESAT - SCD/SISTA, Kasteelpark Arenberg 10, B-3001 Leuven (Heverlee), Belgium, (Goethals, I.)
ISBN 0780395670
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-12-15
Publisher Place Spain
Rights Holder IEEE/EUCA
Size (in Bytes) 268.05 kB
Page Count 6
Starting Page 7108
Ending Page 7113

Source: IEEE Xplore Digital Library