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Fuzzy modelling for distillation column

Fuzzy system's ability of extracting information from measured data has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy system is one of the most useful structures for multi input multi output (MIMO) dynamical system modelling. This paper presents a h...

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Main Authors: Yusof, Rubiyah, Khalid, Marzuki, Ibrahim, M. Z.
Format: Conference or Workshop Item
Published: 2005
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/7165/
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spelling my.utm.71652017-08-30T06:49:48Z http://eprints.utm.my/id/eprint/7165/ Fuzzy modelling for distillation column Yusof, Rubiyah Khalid, Marzuki Ibrahim, M. Z. Q Science (General) Fuzzy system's ability of extracting information from measured data has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy system is one of the most useful structures for multi input multi output (MIMO) dynamical system modelling. This paper presents a hybrid method to tune the parameters of TS fuzzy system automatically using Genetic Algorithms (GA) and Recursive Least Square (RLS) technique. The effectiveness of this approach is illustrated by the identification of temperature profile of batch distillation column. The results show that the proposed system gives a more accurate model than the conventional TS fuzzy model and linear model. 2005 Conference or Workshop Item PeerReviewed Yusof, Rubiyah and Khalid, Marzuki and Ibrahim, M. Z. (2005) Fuzzy modelling for distillation column. In: Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC, art, 2005, Kuala Lumpur.
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 Q Science (General)
spellingShingle Q Science (General)
Yusof, Rubiyah
Khalid, Marzuki
Ibrahim, M. Z.
Fuzzy modelling for distillation column
description Fuzzy system's ability of extracting information from measured data has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy system is one of the most useful structures for multi input multi output (MIMO) dynamical system modelling. This paper presents a hybrid method to tune the parameters of TS fuzzy system automatically using Genetic Algorithms (GA) and Recursive Least Square (RLS) technique. The effectiveness of this approach is illustrated by the identification of temperature profile of batch distillation column. The results show that the proposed system gives a more accurate model than the conventional TS fuzzy model and linear model.
format Conference or Workshop Item
author Yusof, Rubiyah
Khalid, Marzuki
Ibrahim, M. Z.
author_facet Yusof, Rubiyah
Khalid, Marzuki
Ibrahim, M. Z.
author_sort Yusof, Rubiyah
title Fuzzy modelling for distillation column
title_short Fuzzy modelling for distillation column
title_full Fuzzy modelling for distillation column
title_fullStr Fuzzy modelling for distillation column
title_full_unstemmed Fuzzy modelling for distillation column
title_sort fuzzy modelling for distillation column
publishDate 2005
url http://eprints.utm.my/id/eprint/7165/
_version_ 1643644713890217984
score 13.211869

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