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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Hlavní autoři:	Bin Mei, Chenyu Li, Dongdong Liu, Jie Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-09-01
Edice:	Journal of Marine Science and Engineering
Témata:	DBO-DTCN improved wavelet threshold AUV nonparametric identification AUV path planning
On-line přístup:	https://www.mdpi.com/2077-1312/12/9/1683
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