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• W2617637393 abstract "In this work we study the use of nonlinear model predictive control for the control of fed-batch processes. The main idea is to use composite nonlinear models consisting of multiple linear models that are identified and interpolated. The approach is illustrated by a simulation study of a fed-batch process for the synthesis of hexyl monoester maleic acid." @default.
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• W2617637393 date "2000-10-01" @default.
• W2617637393 modified "2023-09-27" @default.
• W2617637393 title "Nonlinear Multiple Model Predictive Control in a FED-Batch Reactor" @default.
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• W2617637393 doi "https://doi.org/10.1016/s1474-6670(17)36833-7" @default.
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