Sign in
Back
Online prediction model based on the SVD-KPCA method
Journal article   Peer reviewed

Online prediction model based on the SVD-KPCA method

Ilyes Elaissi, Ines Jaffel, Okba Taouali and Hassani Messaoud
ISA transactions, Vol.52(1), pp.96-104
01/01/2013
DOI: https://doi.org/10.1016/j.isatra.2012.09.007
PMID: 23103049

Abstract

Automation & Control Systems Engineering Engineering, Multidisciplinary Instruments & Instrumentation Science & Technology Technology
This paper proposes a new method for online identification of a nonlinear system modelled on Reproducing Kernel Hilbert Space (RKHS). The proposed SVD-KPCA method uses the Singular Value Decomposition (SVD) technique to update the principal components. Then we use the Reduced Kernel Principal Component Analysis (RKPCA) to approach the principal components which represent the observations selected by the KPCA method. (C) 2012 ISA. Published by Elsevier Ltd. All rights reserved.

Metrics

1 Record Views

Details