IKN-NeuralODE Continuous-Time Modeling Method for Ship Maneuvering Motion

Modeling ship maneuvering dynamics presents numerous challenges, including long-term multi-step recursive error accumulation, insufficient generalization under distributed control rates, and high-frequency disturbance amplification effects. Traditional analytical models heavily rely on vessel-specif...

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Principais autores:	Yong-Wei Zhang, Wen-Kai Xia, Ming-Yang Zhu, Xin-Yang Zhang, Jin-Di Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
Colecção:	Journal of Marine Science and Engineering
Assuntos:	vessel maneuvering dynamics NeuralODE data-driven modeling reversible Koopman network
Acesso em linha:	https://www.mdpi.com/2077-1312/14/6/546
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