将水手的经验传达给计算机控制器,以便操纵船舶

B. Balasuriya, P. Hoole
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引用次数: 0

摘要

沿着斯里兰卡的西北海岸,存在着该国最繁忙的航线之一。运送平民的商船和渔船经常沿着这条海岸线航行。沿海水域受到强风和强湍流的影响。本文报道了一种高度交互的神经网络控制器,能令人信服地处理湍流条件。本文的仿真结果主要集中在晴天船舶操舵时舵手与计算机控制器之间的通信和恶劣天气船舶操舵时舵手与计算机控制器之间的通信。从计算机决策的视觉呈现中,水手能够向计算机控制器学习。这里展示的实时可视化程序将给水手一些关于神经控制器如何处理湍流的直接感觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communicating a sailor's experience to a computer controller for ship steering
Along the North-West (NW) coast of Sri Lanka exists one of the busiest shipping routes of the nation. Both commercial boats transporting civilians and fishing boats frequently travel along this coast line. The coastal waters are subject to severe winds and strong turbulence. This paper reports a highly interactive neural network controller which convincingly handles turbulent conditions. The simulation results presented in this paper focus on the sailor to computer controller communication during fair weather ship steering and computer controller to sailor communication for heavy weather ship steering. From the visual presentation of the computer decisions, the sailor is able to learn from the computer controller. The real time visualisation routine presented here will give the sailor some direct feeling as to how the neural controller handles turbulence.<>
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