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Neural Controlling of Remotely Operated Underwater Vehicle

机译:远程操作水下车的神经控制

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摘要

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:本文的主要目的是介绍采用人工神经网络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基础。接下来,将提出使用人工神经网络技术的建议控制系统。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。本文以摘要完成摘要,其中包括得出从研究结果得出的结论。

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