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