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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems

Volumen 43, Ausgabe 6, 2011, pp. 1-15
DOI: 10.1615/JAutomatInfScien.v43.i6.10
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ABSTRAKT

The possibility of spread, through appropriate modifications, of the well-known methods of the stochastic identification to multidimensional systems generating the data, which contain a limited uncertainty, was investigated. It is shown that, in general, only an approximating model of the reduced order with the biased estimates of its parameters can be restored correctly. For systems with different structural properties and signal-to-noise ratio it is found how the parameters of the truncated model coordinate with the dynamic characteristics of the investigated object.

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