Auto-tuning of proportional integral derivative controller using grey prediction technique

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Main Author: Awouda Adam, Ala Eldin Abdallah
Format: Thesis
Published: 2011
Subjects:
Online Access:http://eprints.utm.my/id/eprint/16275/
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spelling my.utm.162752012-08-28T02:01:25Z http://eprints.utm.my/id/eprint/16275/ Auto-tuning of proportional integral derivative controller using grey prediction technique Awouda Adam, Ala Eldin Abdallah TK Electrical engineering. Electronics Nuclear engineering 2011 Thesis NonPeerReviewed Awouda Adam, Ala Eldin Abdallah (2011) Auto-tuning of proportional integral derivative controller using grey prediction technique. PhD thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Awouda Adam, Ala Eldin Abdallah
Auto-tuning of proportional integral derivative controller using grey prediction technique
format Thesis
author Awouda Adam, Ala Eldin Abdallah
author_facet Awouda Adam, Ala Eldin Abdallah
author_sort Awouda Adam, Ala Eldin Abdallah
title Auto-tuning of proportional integral derivative controller using grey prediction technique
title_short Auto-tuning of proportional integral derivative controller using grey prediction technique
title_full Auto-tuning of proportional integral derivative controller using grey prediction technique
title_fullStr Auto-tuning of proportional integral derivative controller using grey prediction technique
title_full_unstemmed Auto-tuning of proportional integral derivative controller using grey prediction technique
title_sort auto-tuning of proportional integral derivative controller using grey prediction technique
publishDate 2011
url http://eprints.utm.my/id/eprint/16275/
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score 13.160551