Identification of nonlinear systems based on mathematical physical analysis and least square method

The paper deals with the identification of nonlinear systems described by the nonlinear difference equations of the certain type. These equations are known in literature dealing with the systems modelling by means of neural network as the models of the second type. In some cases, when these models a...

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Main Authors:	Drábek Oldøich, Taufer Ivan
Format:	Article
Language:	English
Published:	Technical University of Kosice 2003-12-01
Series:	Acta Montanistica Slovaca
Subjects:	nonlinear system identification recursive least square method
Online Access:	http://actamont.tuke.sk/pdf/2003/n4/11tauferdrabek.pdf

id	doaj-1d649b18b8ad430980564c0a1aef15a7
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spelling	doaj-1d649b18b8ad430980564c0a1aef15a72020-11-24T22:34:29ZengTechnical University of Kosice Acta Montanistica Slovaca1335-17882003-12-0184188190Identification of nonlinear systems based on mathematical physical analysis and least square methodDrábek OldøichTaufer IvanThe paper deals with the identification of nonlinear systems described by the nonlinear difference equations of the certain type. These equations are known in literature dealing with the systems modelling by means of neural network as the models of the second type. In some cases, when these models are nonlinear also in parameters and we want to use the least square method for parameter estimation, it is necessary to transform the models into linear forms. Our attention has chiefly been paid to the practical utilization of the proposed algorithm and to this verification on simulated example.http://actamont.tuke.sk/pdf/2003/n4/11tauferdrabek.pdfnonlinear systemidentificationrecursive least square method
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Drábek Oldøich Taufer Ivan
spellingShingle	Drábek Oldøich Taufer Ivan Identification of nonlinear systems based on mathematical physical analysis and least square method Acta Montanistica Slovaca nonlinear system identification recursive least square method
author_facet	Drábek Oldøich Taufer Ivan
author_sort	Drábek Oldøich
title	Identification of nonlinear systems based on mathematical physical analysis and least square method
title_short	Identification of nonlinear systems based on mathematical physical analysis and least square method
title_full	Identification of nonlinear systems based on mathematical physical analysis and least square method
title_fullStr	Identification of nonlinear systems based on mathematical physical analysis and least square method
title_full_unstemmed	Identification of nonlinear systems based on mathematical physical analysis and least square method
title_sort	identification of nonlinear systems based on mathematical physical analysis and least square method
publisher	Technical University of Kosice
series	Acta Montanistica Slovaca
issn	1335-1788
publishDate	2003-12-01
description	The paper deals with the identification of nonlinear systems described by the nonlinear difference equations of the certain type. These equations are known in literature dealing with the systems modelling by means of neural network as the models of the second type. In some cases, when these models are nonlinear also in parameters and we want to use the least square method for parameter estimation, it is necessary to transform the models into linear forms. Our attention has chiefly been paid to the practical utilization of the proposed algorithm and to this verification on simulated example.
topic	nonlinear system identification recursive least square method
url	http://actamont.tuke.sk/pdf/2003/n4/11tauferdrabek.pdf
work_keys_str_mv	AT drabekoldøich identificationofnonlinearsystemsbasedonmathematicalphysicalanalysisandleastsquaremethod AT tauferivan identificationofnonlinearsystemsbasedonmathematicalphysicalanalysisandleastsquaremethod
_version_	1725727190042017792

Identification of nonlinear systems based on mathematical physical analysis and least square method

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