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- W3211234098 abstract "This study proposes the use of neural networks, specifically NARX networks, in the modeling of non-linear chemical systems with the use of the control field systems identification methodology. The chemical reactor of the Tennessee Eastman, responsible for the greater non-linearities of the plant, is studied. First, a simple decentralized control scheme is proposed for the stabilization of the plant, an identification experiment is designed, and two sub-models are trained for the level and pressure of the reactor, obtaining satisfactory results." @default.
- W3211234098 created "2021-11-08" @default.
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- W3211234098 date "2021-01-01" @default.
- W3211234098 modified "2023-09-23" @default.
- W3211234098 title "Identification of Non-linear Chemical Systems with Neural Networks" @default.
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- W3211234098 doi "https://doi.org/10.1007/978-3-030-89691-1_10" @default.
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