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Identification of Hammerstein Systems using Triangular basis Functions

by Khaled Elleuch, Abdessattar Chaari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 1
Year of Publication: 2011
Authors: Khaled Elleuch, Abdessattar Chaari
10.5120/2911-3827

Khaled Elleuch, Abdessattar Chaari . Identification of Hammerstein Systems using Triangular basis Functions. International Journal of Computer Applications. 24, 1 ( June 2011), 42-45. DOI=10.5120/2911-3827

@article{ 10.5120/2911-3827,
author = { Khaled Elleuch, Abdessattar Chaari },
title = { Identification of Hammerstein Systems using Triangular basis Functions },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 1 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number1/2911-3827/ },
doi = { 10.5120/2911-3827 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:53.879290+05:30
%A Khaled Elleuch
%A Abdessattar Chaari
%T Identification of Hammerstein Systems using Triangular basis Functions
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 1
%P 42-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new identification method is proposed for Hammerstein systems in presence of dead zone input nonlinearities. To describe and identify the nonlinear system, a new decomposition technique using the triangular basis functions is employed. Then a parameterized model is derived to represent the entire system. The approximation by Triangular basis functions for the description of the static nonlinear block conducts to a linear regressive model, so parameter matrices characterizing the considered model can be estimated. After this stage, Singular Values Decomposition (SVD) technique has been applied to separate the coupled parameters of matrixes. The numerical simulation results illustrate that the proposed approach can be a promising tool for identifying Hammerstein systems with dead zone nonlinearities.

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Index Terms

Computer Science
Information Sciences

Keywords

Identification SVD technique Dead-zone nonlinearity

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