%0 Journal Article %A Gummel, Alexey V. %A Gubarev, Vyacheslav F. %A Kryshtal, Artem A. %A Oles, Vladislav Yu. %D 2011 %I Begell House %K structural and parametric identification, limited uncertainty, multidimensional systems, truncated approximating model, dynamic characteristics of the investigated object %N 6 %P 1-15 %R 10.1615/JAutomatInfScien.v43.i6.10 %T On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems %U https://www.dl.begellhouse.com/journals/2b6239406278e43e,1496d1fd67c4dd1e,0b3ae96c71c21858.html %V 43 %X 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. %8 2011-06-30