Control System of Underwater Vehicle Based on Neural Network

DOI

10.2991/isci-15.2015.280How to use a DOI?

Keywords

Underwater Vehicle(UV); Neural Network; Control system.

Abstract

A Controller based on Neural Network (CNN) is introduced for motion control of UV. With this controller, an on-line studying method can be adopted without the sample data in several sample periods, resulting in high learning speed of the controller. The developed control system was applied to the 4-dimension control of a UV and succeeded in simulation platform. It is shown that the CNN has a great possibility to deal with the problems on the control system design of the future UV.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun-Meng Jiang
AU  - Lei Wan
AU  - Yu-Shan Sun
PY  - 2015/01
DA  - 2015/01
TI  - Control System of Underwater Vehicle Based on Neural Network
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2139
EP  - 2145
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.280
DO  - 10.2991/isci-15.2015.280
ID  - Jiang2015/01
ER  -