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The Use of a Simple Neural Network in the Motion Control of Unmanned Undersea Vehicles

Authors: M.J. Norton;

The Use of a Simple Neural Network in the Motion Control of Unmanned Undersea Vehicles

Abstract

The kinematic motion control of multiple simulated autonomous vehicles is described. This control is accomplished via the use of a simple neural network which accepts range, bearing, and heading information to produce a speed and rudder angle. The controller is explained and used to show several kinds of behavior in two autonomous vehicles (UUY and Intelligent Torpedo). The following material describes work in progress and should not be taken to be complete or finished. The neural network techniques are being used in a simplistic manner which do not currently adapt or learn. This capability will be added as research continues.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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