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• W2049206917 abstract "This paper proposes a neural network approach to nonlinear model predictive control (NMPC). The NMPC problem is formulated as a convex programming problem via Jacobain linearization. The unknown high-order term associated with the linearization is estimated by using a feedforward neural network via supervised learning. The convex optimization problem involved in MPC is solved by using a recurrent neural network. Simulation results are provided to demonstrate the performance of the approach." @default.
• W2049206917 created "2016-06-24" @default.
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• W2049206917 date "2011-11-01" @default.
• W2049206917 modified "2023-10-16" @default.
• W2049206917 title "A neural network approach to nonlinear model predictive control" @default.
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• W2049206917 doi "https://doi.org/10.1109/iecon.2011.6119669" @default.
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