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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v48.i4.20
pages 2-17

Asymptotic Modeling and Identification of Complex Linear Systems

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

要約

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.


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