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• W2039841883 abstract "Abstract This work addresses the problem of designing an on-line dynamic data processor to estimate and predict viscosity, conversion, and molecular weight of an alkyd reactor through discrete-delayed measurements of viscosity. This estimation–prediction scheme is important to monitor, control and stop the batch operation so that its yield is maximized with a product grade within specifications. Since the alkyd polymerization involves a complex reaction of synthetic or natural fatty acids with unknown detailed kinetics, the proposed estimator is designed on the basis of a simple kinetics model with an on-line adjusted observable parameter. The resulting estimator has a systematic construction-tuning procedure coupled with a robust convergence criterion, and its functioning and performance is illustrated with experimental data." @default.
• W2039841883 created "2016-06-24" @default.
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• W2039841883 date "2010-06-01" @default.
• W2039841883 modified "2023-09-26" @default.
• W2039841883 title "Estimation of alkyd reactors with discrete-delayed measurements" @default.
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• W2039841883 doi "https://doi.org/10.1016/j.cej.2010.03.055" @default.
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