LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics

DOI10.1016/j.neunet.2021.02.027zbMath1527.70025OpenAlexW3134002980MaRDI QIDQ6054556

Yang Liu, Kenneth Omokhagbo Afebu, Bingyong Guo, Evangelos Papatheou

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2021.02.027

zbMATH Keywords

vibro-impactcoexisting attractorpercussive drillinglong short-term memory networkbasin prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Equilibria and periodic trajectories for nonlinear problems in mechanics (70K42) Computational methods for problems pertaining to mechanics of particles and systems (70-08)

Related Items

Near-grazing bifurcations and deep reinforcement learning control of an impact oscillator with elastic constraints, Bifurcation analysis of a vibro-impacting capsule robot in contact with a circular fold

Cites Work

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• Experimental study of impact oscillator with one-sided elastic constraint