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• W2065188241 abstract "Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI controller, where the output scaling factor is adjusted online by fuzzy rules according to the current trend of the controlled process. The performance of a type-2 fuzzy logic controller with 49 rules is used as reference." @default.
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• W2065188241 date "2010-07-01" @default.
• W2065188241 modified "2023-09-25" @default.
• W2065188241 title "Adaptive type-2 fuzzy logic control of a bioreactor" @default.
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• W2065188241 doi "https://doi.org/10.1016/j.ces.2010.04.023" @default.
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