Fuzzy modelling for reboiler system
Fuzzy system's ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy System is one of the most popular method used for fuzzy modelling of multi input multi outpu...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2002
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| Online Access: | http://eprints.utm.my/7334/1/YusofRubiyah2002_Fuzzy_Modelling_Reboiler_System.pdf http://eprints.utm.my/7334/ https://dx.doi.org/10.1109/TENCON.2004.1415012 |
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| _version_ | 1845471791209775104 |
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| author | Yusof, Rubiyah Ibrahim, Mohd. Faisal Khalid, Marzuki |
| author_facet | Yusof, Rubiyah Ibrahim, Mohd. Faisal Khalid, Marzuki |
| author_sort | Yusof, Rubiyah |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Fuzzy system's ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy System is one of the most popular method used for fuzzy modelling of multi input multi output (MIMO) dynamical system. In this paper, we propose an automatic tuning methods of fuzzy sets for TS fuzzy models using genetic algorithms. The effectiveness of the approach is illustrated by applying the method to a reboiler of batch distillation column. The results show that the proposed system gives a more accurate model than the conventional TS fuzzy model. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-7334 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2002 |
| record_format | eprints |
| spelling | my.utm.eprints-73342017-07-23T04:07:09Z http://eprints.utm.my/7334/ Fuzzy modelling for reboiler system Yusof, Rubiyah Ibrahim, Mohd. Faisal Khalid, Marzuki TK Electrical engineering. Electronics Nuclear engineering Fuzzy system's ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) Fuzzy System is one of the most popular method used for fuzzy modelling of multi input multi output (MIMO) dynamical system. In this paper, we propose an automatic tuning methods of fuzzy sets for TS fuzzy models using genetic algorithms. The effectiveness of the approach is illustrated by applying the method to a reboiler of batch distillation column. The results show that the proposed system gives a more accurate model than the conventional TS fuzzy model. 2002 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7334/1/YusofRubiyah2002_Fuzzy_Modelling_Reboiler_System.pdf Yusof, Rubiyah and Ibrahim, Mohd. Faisal and Khalid, Marzuki (2002) Fuzzy modelling for reboiler system. In: IEEE Region 10 Annual International Conference, 24-24 Nov. 2004, Chiang Mai, Thailand. https://dx.doi.org/10.1109/TENCON.2004.1415012 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Yusof, Rubiyah Ibrahim, Mohd. Faisal Khalid, Marzuki Fuzzy modelling for reboiler system |
| title | Fuzzy modelling for reboiler system |
| title_full | Fuzzy modelling for reboiler system |
| title_fullStr | Fuzzy modelling for reboiler system |
| title_full_unstemmed | Fuzzy modelling for reboiler system |
| title_short | Fuzzy modelling for reboiler system |
| title_sort | fuzzy modelling for reboiler system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/7334/1/YusofRubiyah2002_Fuzzy_Modelling_Reboiler_System.pdf http://eprints.utm.my/7334/ https://dx.doi.org/10.1109/TENCON.2004.1415012 |
| url_provider | http://eprints.utm.my/ |