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.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Fuzzy model,genetic algorithms,distillation column|
|Subjects:||Q Science > Q Science (General)|
|Deposited By:||Surayahani Abu Bakar|
|Deposited On:||20 Jan 2009 07:57|
|Last Modified:||20 Jan 2009 07:57|
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