System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System
Hand is an important parts of human physical bodies that have high complex structure with highest precision, flexibility and accurate movement involve a lot of numbers nerve connected. Amputees are people who have difficulties when dealing with their routine or daily life activities because of physi...
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2017
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my.utem.eprints.211742021-07-13T23:25:20Z http://eprints.utem.edu.my/id/eprint/21174/ System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System Jali, Mohd Hafiz Hamdani, Muhammad Faris Zohedi, Fauzal Naim Ghazali, Rozaimi T Technology (General) TJ Mechanical engineering and machinery Hand is an important parts of human physical bodies that have high complex structure with highest precision, flexibility and accurate movement involve a lot of numbers nerve connected. Amputees are people who have difficulties when dealing with their routine or daily life activities because of physical problem. This project to focus on the designing the prosthetic hand consist of the intelligent controller based on the multiple rule that having capabilities to operate on fuzzy logic control algorithms for amputees. This project utilized fuzzy logic controller to control the positioning of prosthetic hand as feedback input to provide the membership rule in fuzzy logic control algorithm. The results show that the designed controller has good capabilities to accurately control the prosthetic hand system. Taylor's University 2017-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21174/2/20170401_JESTEC_Hafiz.pdf Jali, Mohd Hafiz and Hamdani, Muhammad Faris and Zohedi, Fauzal Naim and Ghazali, Rozaimi (2017) System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System. Journal Of Engineering Science And Technology, 12. pp. 52-63. ISSN 1823-4690 http://jestec.taylors.edu.my/Special%20Issue_ISSC_2016/ISSC%202016_paper%205.pdf |
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T Technology (General) TJ Mechanical engineering and machinery Jali, Mohd Hafiz Hamdani, Muhammad Faris Zohedi, Fauzal Naim Ghazali, Rozaimi System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
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Hand is an important parts of human physical bodies that have high complex structure with highest precision, flexibility and accurate movement involve a lot of numbers nerve connected. Amputees are people who have difficulties when dealing with their routine or daily life activities because of physical problem. This project to focus on the designing the prosthetic hand consist of the intelligent controller based on the multiple rule that having capabilities to operate on fuzzy logic control algorithms for amputees. This project utilized fuzzy logic controller to control the positioning of prosthetic hand as feedback input to provide the membership rule in fuzzy logic control algorithm. The results show that the designed controller has good capabilities to accurately control the prosthetic hand system. |
format |
Article |
author |
Jali, Mohd Hafiz Hamdani, Muhammad Faris Zohedi, Fauzal Naim Ghazali, Rozaimi |
author_facet |
Jali, Mohd Hafiz Hamdani, Muhammad Faris Zohedi, Fauzal Naim Ghazali, Rozaimi |
author_sort |
Jali, Mohd Hafiz |
title |
System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
title_short |
System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
title_full |
System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
title_fullStr |
System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
title_full_unstemmed |
System Identification And Fuzzy Logic Controller Design For Prosthetic Hand System |
title_sort |
system identification and fuzzy logic controller design for prosthetic hand system |
publisher |
Taylor's University |
publishDate |
2017 |
url |
http://eprints.utem.edu.my/id/eprint/21174/2/20170401_JESTEC_Hafiz.pdf http://eprints.utem.edu.my/id/eprint/21174/ http://jestec.taylors.edu.my/Special%20Issue_ISSC_2016/ISSC%202016_paper%205.pdf |
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