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Neural Controlling of Remotely Operated Underwater Vehicle

机译:遥控水下车辆的神经控制

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The main aim of this paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicles using artificial neural networks. Firstly the mathematical basis of neural network used to control dynamical object were introduced. Next the proposed control system which used artificial neural network technology will be presented. At the end the example the results of the research on stabilizing movement parameters of underwater vehicle using ROV simulator are presented. The paper is finishes with a summary which includes conclusions derive from the results of the research.
机译:本文的主要目的是使用人工神经网络介绍集中在控制远程操作水下车辆的研究结果。 首先,介绍了用于控制动态对象的神经网络的数学依据。 接下来,将提出使用人工神经网络技术的提出控制系统。 最后,提出了使用ROV模拟器稳定水下车辆稳定运动参数的研究结果的示例。 本文饰面概述,其中包括得出研究结果得出。

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