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A recurrent neural network approach for discrete-form stewart platform control with disturbance rejection

Recurrent neural networks (RNNs) have been employed extensively as intelligent control approaches across various industrial control fields. However, existing research often lacks sufficient focus on discrete-form time-variant problems and disturbance rejection capability. This paper proposes a novel...

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Principais autores: Yang Shi, Yueyang Ma, Liangming Chen, Dimitrios K. Gerontitis, Long Jin
Format: Artigo
Sprog:Inglês
Udgivet: Tsinghua University Press 2025-12-01
Serier:CAAI Artificial Intelligence Research
Fag:
recurrent neural networks (rnns)
stewart platform
discrete-form time-variant problem
disturbance rejection
Online adgang:https://www.sciopen.com/article/10.26599/AIR.2025.9150047
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