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- W1821218323 abstract "Abstract A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions." @default.
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- W1821218323 date "2006-01-01" @default.
- W1821218323 modified "2023-09-26" @default.
- W1821218323 title "PUSHER REHEATING FURNACE CONTROL: A FUZZY-NEURAL MODEL PREDICTIVE STRATEGY" @default.
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- W1821218323 doi "https://doi.org/10.3182/20061002-4-bg-4905.00028" @default.
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