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Journal of Automation and Information Sciences
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ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/J Automat Inf Scien.v38.i9.20
pages 12-28

Method of Iterative Identification of Multidimensional Systems by Uncertain Data.
Part I. Theoretical Aspects

Vyacheslav F. Gubarev
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine


We state theoretical aspects of the new method of identification of multidimensional dynamical systems by approximate data, which were obtained from experiments. The iterative scheme of recovering mathematical model of object by certain parts, which are called submodels, was suggested and substantiated. To this end we use problem statement in nonstandard form. On its basis we obtained conditions of identification and suggested ways of formation of information signals on input, which make it possible to detect on output signals of submodel. Procedure of determination of submodel structure and its corresponding eigenvalues was described.

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