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Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models

Date

Authors

Truong, N - V

Wang, Liuping

Young, Peter C

Publisher

Taylor & Francis Group

Abstract

This paper describes a data-based approach to the identification and estimation of non-linear dynamic systems which exploits the concept of a state dependent parameter (SDP) model structure. The major attractive features of the proposed approach are: (1)

Keywords

Keywords: Linear wavelet functional approximation; Parsimonious structure; Predicted residual sums of squares (PRESS); State dependent parameter (SDP); Algorithms; Computer simulation; Nonlinear systems; Optimization; Parameterization; Wavelet analysis; Parameter e

URI

http://hdl.handle.net/1885/60176

Collections

ANU Research Publications

Source

International Journal of Control

Type

Journal article

DOI

10.1080/00207170601185996

Restricted until

2037-12-31

Downloads

File

Description

01_Truong_Non-linear_system_modelling_2007.pdf (521.69 KB)