Paper Title:
Neural Controlling of Remotely Operated Underwater Vehicle
  Abstract

The main aim of paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicle using artificial neural networks. Firstly the mathematical basis of neural network using to control dynamical object were introduced. Next the proposed control system which is using technology of artificial neural network was presented. At the end the example results of research on stabilizing movements’ parameters of underwater vehicle using ROV simulator were presented. The paper is finished by summary which include conclusions derive from results of research.

  Info
Periodical
Solid State Phenomena (Volume 180)
Chapter
Chapter 2: Robotics
Edited by
Zygmunt Kitowski, Jerzy Garus and Piotr Szymak
Pages
168-174
DOI
10.4028/www.scientific.net/SSP.180.168
Citation
A. Żak, "Neural Controlling of Remotely Operated Underwater Vehicle", Solid State Phenomena, Vol. 180, pp. 168-174, 2012
Online since
November 2011
Authors
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Price
$32.00
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