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• W2204002259 abstract "In this work a model predictive control approach based on a neural network Wiener model is developed and applied for an intensified continuous reactor. The Wiener model is constituted by two parts: a linear state space identified model based on nonlinear first-principle model, a nonlinear neural network model developed to predict the nonlinear controlled output. Next, a local linearization of neural network model at every sample instant is developed to guarantee an efficient online optimization. The performance of nonlinear controller is illustrated by simulations." @default.
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• W2204002259 date "2016-04-01" @default.
• W2204002259 modified "2023-09-25" @default.
• W2204002259 title "Model predictive control of an intensified continuous reactor using a neural network Wiener model" @default.
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• W2204002259 doi "https://doi.org/10.1016/j.neucom.2015.12.048" @default.
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