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

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

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Bibliographic Details
Main Author: Awouda Adam, Ala Eldin Abdallah
Format: Thesis
Published: 2011
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
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id my-utm-ep.16275
record_format uketd_dc
spelling my-utm-ep.162752012-08-28T02:01:25Z Auto-tuning of proportional integral derivative controller using grey prediction technique 2011 Awouda Adam, Ala Eldin Abdallah TK Electrical engineering. Electronics Nuclear engineering 2011 Thesis http://eprints.utm.my/id/eprint/16275/ phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
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
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
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
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2011
_version_ 1747815003940978688

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