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

ISSN Imprimir: 1064-2315
ISSN On-line: 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 National Academy of Sciences of Ukraine State Space Agency 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.


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