Nonlinear system identification using two dimensional wavelet based SDP model

Truong, N and Wang, L 2009, 'Nonlinear system identification using two dimensional wavelet based SDP model', International Journal of Systems Science, vol. 40, no. 11, pp. 1161-1180.


Document type: Journal Article
Collection: Journal Articles

Title Nonlinear system identification using two dimensional wavelet based SDP model
Author(s) Truong, N
Wang, L
Year 2009
Journal name International Journal of Systems Science
Volume number 40
Issue number 11
Start page 1161
End page 1180
Total pages 20
Publisher Taylor & Francis
Abstract This article presents a nonlinear system identification approach that uses a two-dimensional (2-D) wavelet-based state-dependent parameter (SDP) model. In this method, differing from our previous approach, the SDP is a function with respect to two different state variables, which is realised by the use of a 2-D wavelet series expansion. Here, an optimised model structure selection is accomplished using a PRESS-based procedure in conjunction with orthogonal decomposition (OD) to avoid any ill-conditioning problems associated with the parameter estimation. Two simulation examples are provided to demonstrate the merits of the proposed approach.
Subject Control Systems, Robotics and Automation
Keyword(s) nonlinear systems
identification for control
nonlinear system identification
PRESS statistics
multivariable nonlinearities
DOI - identifier 10.1080/00207720902985419
Copyright notice © 2009 Taylor & Francis
ISSN 0020-7721
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