Fundamental sciences

Structural identification of nonlinear stochastic differential systems on the basis of mathematical models of normalized signals

Authors

S. B. Prykhodko
Admiral Makarov National University of Shipbuilding ROR

Keywords

structural identification nonlinear stochastic differential system

Abstract

Method of structural identification of nonlinear stochastic differential systems based on the uses of mathematical models (stochastic differential equations) for normalized input-output random signals of the nonlinear stochastic differential systems, Johnson transform and Ito formula has been proposed.
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How to Cite

[1]
“Structural identification of nonlinear stochastic differential systems on the basis of mathematical models of normalized signals”, Вісник ВПІ, no. 3, pp. 86–92, Nov. 2010, Accessed: Nov. 15, 2026. Available: https://vpi.sprava.net/index.php/visnyk/article/view/756

Author Biography

S. B. Prykhodko, Admiral Makarov National University of Shipbuilding
доцент кафедри інформаційних управляючих систем та технологій

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