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• W2107277660 abstract "The application of a feedback linearization technique using artificial neural networks (ANNs) for a nonlinear industrial process plant is considered in this paper. The process plant is modeled first using an ANN, and then the dynamic neural network model acting as a process plant emulator is feedback linearized. A novel configuration for linearization of an ANN emulator using only backpropagation is used. Effective control of the linearized emulator is then exhibited using a linear controller. Experimentation and simulation results on the linearized emulator are presented to demonstrate the effectiveness of the feedback linearization technique." @default.
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• W2107277660 date "2000-04-01" @default.
• W2107277660 modified "2023-10-01" @default.
• W2107277660 title "Neural network approach for linearizing control of nonlinear process plants" @default.
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• W2107277660 doi "https://doi.org/10.1109/41.836363" @default.
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