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.
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Official URL: https://dx.doi.org/10.1109/TENCON.2004.1415012
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | fuzzy model, genetic algorithms, nonlinear identification |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 7334 |
| Deposited By: | Maznira Sylvia Azra Mansor |
| Deposited On: | 02 Jan 2009 01:21 |
| Last Modified: | 23 Jul 2017 04:07 |
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