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• W2118521885 abstract "Recurrent neural networks can be used for both the identification and control of nonlinear systems. This paper takes a previously derived set of theoretical results about recurrent neural networks and applies them to the task of providing internal model control for a nonlinear plant. Using the theoretical results, we show how an inverse controller can be produced from a neural network model of the plant, without the need to train an additional network to perform the inverse control." @default.
• W2118521885 created "2016-06-24" @default.
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• W2118521885 date "2002-11-27" @default.
• W2118521885 modified "2023-09-23" @default.
• W2118521885 title "Internal model control of nonlinear systems through the inversion of recurrent neural networks" @default.
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• W2118521885 doi "https://doi.org/10.1109/ijcnn.1998.685973" @default.
• W2118521885 hasPublicationYear "2002" @default.
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