Journal of Automation and Information Sciences
Publication de 12 numéros par an
ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems
Volume 43,
Numéro 6, 2011,
pp. 1-15
DOI: 10.1615/JAutomatInfScien.v43.i6.10
RÉSUMÉ
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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