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SVD based modeling of nonlinear systems

descriptionPublicationkeyboard_double_arrow_right Conference object 25 Jun 2003 Portugal Publisher:IEEE

Authors: Varkonyi-Koczy, A. R.; Baranyi, P.; Ruano, Antonio; Gyori, S.; Petres, Z.; Legrady, P.;

doi: 10.1109/imtc.2002.1007070

handle: 10400.1/2339

SVD based modeling of nonlinear systems

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Abstract

Nowadays practical solutions of measurement and control problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. In this paper the applicability of the Higher Order Singular Value Decomposition based modeling is analyzed and a medical example, the modeling of the behavior of the human liver-bile system is introduced.

Country

Portugal

Related Organizations

University of Algarve
Portugal
Budapest University of Technology and Economics
Hungary

Subjects by Vocabulary

Microsoft Academic Graph classification: Artificial neural network Computational complexity theory Computer science Intelligent decision support system Control engineering Fuzzy control system Higher-order singular value decomposition Nonlinear system Singular value decomposition A priori and a posteriori

Keywords

Nonlinear modeling, Product-sum gmvity approximation, Model approximation, HOSVD, Human liver-bile system

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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visibility	views	44
download	downloads	26

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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