基于运动学模型的悬停型AUV系统辨识

2017 IEEE Underwater Technology (UT) Pub Date : 2017-02-23 DOI:10.1109/UT.2017.7890319

H. Roh, Juhyun Pyo, Minsung Sung, Son-cheol Yu

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引用次数: 0

摘要

本文提出了一种基于神经模糊网络的悬停式自主水下航行器(AUV)识别方法。我们使用悬停型AUV Cyclops进行了海上试验。我们在海试中验证了所提出的识别方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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System identification of hovering type AUV using Kinematic model based neural network

In this paper, we proposed identification methods for hovering type Autonomous underwater vehicle (AUV) based on neuro fuzzy network. We conducted sea trial using Cyclops which is hovering type AUV. [1] We verified the proposed identification method from the sea trial.

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来源期刊

2017 IEEE Underwater Technology (UT)

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