Supervisory fuzzy learning control for underwater target tracking
This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference system for the analysis of the terrain. The main goal is to implement the superv...
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Main Authors: | Kia, C., Arshad, M.R., Abdul Hamid, Adom, Wilson, P.A. |
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Format: | Working Paper |
Language: | English |
Published: |
School of Mechatronics Engineering
2013
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Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/30800 |
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