Neural Controlling of Remotely Operated Underwater Vehicle

Abstract:

Article Preview

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)

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:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.