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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Systems Identification and Model Order Reduction by Direct Variational Method

Volume 46, Edição 3, 2014, pp. 3-16
DOI: 10.1615/JAutomatInfScien.v46.i3.20
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RESUMO

The processes of identification and a model order reduction on the basis of a direct variational method are investigated. In the case of deterministic data it was shown that the results of identification do not depend on the amplitude of the input signal, the minimal informative length of the observation interval was found. In the case of approximate data there were investigated stability properties of different models.

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