Supervisory fuzzy learning control for underwater target tracking
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World Academy of Science, Engineering and Technology
2009
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my.unimap-69812009-08-18T04:56:32Z Supervisory fuzzy learning control for underwater target tracking Kia, Chua Arshad, Mohd Rizal Adom, Abd Hamid Wilson, Philip A. Artificial intelligence Autonomous underwater vehicles Fuzzy logic Robot navigation Simulations Underwater target tracking Vision system Link to publisher's homepage at http://www.waset.org/journals 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 supervisory fuzzy learning control technique to reduce the errors on navigation decision due to the pipeline occlusion problem. The system developed is capable of interpreting underwater images containing occluded pipeline, seabed and other unwanted noise. The algorithm proposed in previous work does not explore the cooperation between fuzzy controllers, knowledge and leamt data to improve the outputs for underwater pipeline tracking. Computer simulations and prototype simulations demonstrate the effectiveness of this approach. The system accuracy level has also been discussed. 2009-08-18T04:55:20Z 2009-08-18T04:55:20Z 2005-06 Article World Academy of Science, Engineering and Technology, vol.6, 2005, pages 92-95. 2070-3724 http://www.waset.org/journals/waset/v6.php http://hdl.handle.net/123456789/6981 en World Academy of Science, Engineering and Technology |
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Malaysia |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Artificial intelligence Autonomous underwater vehicles Fuzzy logic Robot navigation Simulations Underwater target tracking Vision system |
| spellingShingle |
Artificial intelligence Autonomous underwater vehicles Fuzzy logic Robot navigation Simulations Underwater target tracking Vision system Kia, Chua Arshad, Mohd Rizal Adom, Abd Hamid Wilson, Philip A. Supervisory fuzzy learning control for underwater target tracking |
| description |
Link to publisher's homepage at http://www.waset.org/journals |
| format |
Article |
| author |
Kia, Chua Arshad, Mohd Rizal Adom, Abd Hamid Wilson, Philip A. |
| author_facet |
Kia, Chua Arshad, Mohd Rizal Adom, Abd Hamid Wilson, Philip A. |
| author_sort |
Kia, Chua |
| title |
Supervisory fuzzy learning control for underwater target tracking |
| title_short |
Supervisory fuzzy learning control for underwater target tracking |
| title_full |
Supervisory fuzzy learning control for underwater target tracking |
| title_fullStr |
Supervisory fuzzy learning control for underwater target tracking |
| title_full_unstemmed |
Supervisory fuzzy learning control for underwater target tracking |
| title_sort |
supervisory fuzzy learning control for underwater target tracking |
| publisher |
World Academy of Science, Engineering and Technology |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6981 |
| _version_ |
1643788583139540992 |
| score |
13.222552 |