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Fuzzy modelling for reboiler system

Yusof, Rubiyah and Ibrahim, Mohd Faisal and Khalid, Marzuki (2002) Fuzzy modelling for reboiler system. In: IEEE Region 10 Annual International Conference.

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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:01 Jun 2010 15:51

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