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Solving the problem of structural stochastic identification of nonlinear discrete dynamic multistructural objects

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Abstract

Methods of structural stochastic identification of nonlinear discrete dynamic objects are shown to be a topical subject of study. The general structure of an identification algorithm leveraging nonlinear filtering algorithms is proposed. Synthesis of the structural identification algorithm that uses the criterion of the minimum of the autocorrelation residual function is considered. A numerical example that shows the proposed approach is efficient is considered.

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Authors and Affiliations

  1. Rostov State Transport University, pl. Narodnogo Opolcheniya 2, Rostov-on-Don, 344038, Russia

    P. A. Kucherenko, S. V. Sokolov & S. M. Kovalev

Authors
  1. P. A. Kucherenko
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  2. S. V. Sokolov
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  3. S. M. Kovalev
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Correspondence to P. A. Kucherenko.

Additional information

Original Russian Text © P.A. Kucherenko, S.V. Sokolov, S.M. Kovalev, 2013, published in Avtomatika i Vychislitel’naya Tekhnika, 2013, No. 6, pp. 32–41.

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Kucherenko, P.A., Sokolov, S.V. & Kovalev, S.M. Solving the problem of structural stochastic identification of nonlinear discrete dynamic multistructural objects. Aut. Control Comp. Sci. 47, 310–317 (2013). https://doi.org/10.3103/S0146411613060084

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  • DOI: https://doi.org/10.3103/S0146411613060084

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