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Intelligent systems. Theory and applications, 2022, Volume 26, Issue 1, Pages 262–266 (Mi ista367)  
Part 6. Intelligent control, robots and biomechatronics systems

Application of a recurrent neural network to identify dynamics of a centrifuge-type stand

G. S. Bugriy

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
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Abstract: An algorithm for an identifier design based on a recurrent neural network is proposed and its applicability on a centrifuge-type stand.
Keywords: recurrent neural network, non-parametric identifier, centrifuge, motion cueing.
Document Type: Article
Language: Russian
Citation: G. S. Bugriy, “Application of a recurrent neural network to identify dynamics of a centrifuge-type stand”, Intelligent systems. Theory and applications, 26:1 (2022), 262–266
Citation in format AMSBIB
\Bibitem{Bug22}
\by G.~S.~Bugriy
\paper Application of a recurrent neural network to identify dynamics of a centrifuge-type stand
\jour Intelligent systems. Theory and applications
\yr 2022
\vol 26
\issue 1
\pages 262--266
\mathnet{http://mi.mathnet.ru/ista367}
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