Deep Learning-Based Nonparametric Identification and Path Planning for Autonomous Underwater Vehicles

As the nonlinear and coupling characteristics of autonomous underwater vehicles (AUVs) are the challenges for motion modeling, the nonparametric identification method is proposed based on dung beetle optimization (DBO) and deep temporal convolutional networks (DTCNs). First, the improved wavelet thr...

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Detalhes bibliográficos

Principais autores:	Bin Mei, Chenyu Li, Dongdong Liu, Jie Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
Colecção:	Journal of Marine Science and Engineering
Assuntos:	DBO-DTCN improved wavelet threshold AUV nonparametric identification AUV path planning
Acesso em linha:	https://www.mdpi.com/2077-1312/12/9/1683
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