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Development of algorithmic support for the analysis of stochastic systems based on canonical expansions of random functions

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Abstract

In the paper, we give a brief review of the known algorithmic and programm support for solving problems of nonlinear analysis of stochastic systems. Examples with the results of work of software tools in MATLAB are represented.

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Authors and Affiliations

  1. Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia

    I. N. Sinitsyn, V. I. Sinitsyn, E. R. Korepanov, V. V. Belousov & I. V. Sergeev

Authors
  1. I. N. Sinitsyn
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  2. V. I. Sinitsyn
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  3. E. R. Korepanov
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  4. V. V. Belousov
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  5. I. V. Sergeev
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Additional information

Original Russian Text © I.N. Sinitsyn, V.I. Sinitsyn, E.R. Korepanov, V.V. Belousov, I.V. Sergeev, 2011, published in Avtomatika i Telemekhanika, 2011, No. 2, pp. 195–206.

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Sinitsyn, I.N., Sinitsyn, V.I., Korepanov, E.R. et al. Development of algorithmic support for the analysis of stochastic systems based on canonical expansions of random functions. Autom Remote Control 72, 405–415 (2011). https://doi.org/10.1134/S0005117911020160

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  • DOI: https://doi.org/10.1134/S0005117911020160

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