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Journal of Automation and Information Sciences

 

ISSN for PRINT: 1064-2315

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$2573.00

Issues per year:

12

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2006, Volume38

Issue 9

  82 pages  

DOI: 10.1615/J Automat Inf Scien.v38.i9   

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  • 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 National Space Agency of Ukraine, Kiev, Ukraine


    ABSTRACT

    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.

    DOI: 10.1615/J Automat Inf Scien.v38.i9.20

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