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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
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2005
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| Online Access: | http://eprints.utm.my/7165/ |
| _version_ | 1848891414022193152 |
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| author | Yusof, Rubiyah Khalid, Marzuki Ibrahim, M. Z. |
| author_facet | Yusof, Rubiyah Khalid, Marzuki Ibrahim, M. Z. |
| author_sort | Yusof, Rubiyah |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:57:35Z |
| format | Conference or Workshop Item |
| id | utm-7165 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:57:35Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-71652017-08-30T06:49:48Z http://eprints.utm.my/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. |
| spellingShingle | Q Science (General) Yusof, Rubiyah Khalid, Marzuki Ibrahim, M. Z. Fuzzy modelling for distillation column |
| title | 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_short | Fuzzy modelling for distillation column |
| title_sort | fuzzy modelling for distillation column |
| topic | Q Science (General) |
| url | http://eprints.utm.my/7165/ |