Asymptotic Modeling and Identification of Complex Linear Systems

Vyacheslav F. Gubarev

doi:10.1615/JAutomatInfScien.v48.i4.20

Journal of Automation and Information Sciences

Editor chefe: Arkadiy A. Chikriy (open in a new tab)

Editor associados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

Indexed in

Asymptotic Modeling and Identification of Complex Linear Systems

Volume 48, Edição 4, 2016, pp. 2-17

DOI: 10.1615/JAutomatInfScien.v48.i4.20

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Vyacheslav F. Gubarev
Institute of Space Research NAS and SSA of Ukraine, Kiev, Ukraine

RESUMO

Asymptotic form for model classes of complex systems approximately describing processes in them is proposed and justified. Identification peculiarities for such model classes are considered. On the basis of finitedifference approximations it is described the method, which combines nonparametric and structure-parametric identification that allows one to construct reduced models agreed in accuracy with errors in initial data.

Palavras-chave: complex linear systems, models asymptotic form, identification problem, finite expansions, large or infinite dimension, correct solving, accuracy

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