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• W2105677519 abstract "Model predictive control (MPC), also known as receding horizon control (RHC), is an advanced control strategy for optimizing the performance of control systems. For nonlinear systems, standard MPC schemes based on linearization would result in poor performance. In this paper, we propose an MPC scheme for nonlinear affine systems based on a recurrent neural network (RNN) called the simplified dual network. The proposed RNN-based approach is efficient and suitable for real-time MPC implementation in industrial applications. Simulation results are provided to demonstrate the effectiveness and efficiency of the proposed MPC scheme." @default.
• W2105677519 created "2016-06-24" @default.
• W2105677519 creator A5044406254 @default.
• W2105677519 creator A5091291585 @default.
• W2105677519 date "2009-07-01" @default.
• W2105677519 modified "2023-10-16" @default.
• W2105677519 title "Model predictive control for nonlinear affine systems based on the simplified dual neural network" @default.
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• W2105677519 doi "https://doi.org/10.1109/cca.2009.5281106" @default.
• W2105677519 hasPublicationYear "2009" @default.
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