Li Peng, Wen Li, Guohuan Lou, and Xuyan Tu, An integrated scheme of neural network and optimal predictive control, J. Univ. Sci. Technol. Beijing, 9(2002), No. 4, pp. 302-304.
Cite this article as:
Li Peng, Wen Li, Guohuan Lou, and Xuyan Tu, An integrated scheme of neural network and optimal predictive control, J. Univ. Sci. Technol. Beijing, 9(2002), No. 4, pp. 302-304.
Li Peng, Wen Li, Guohuan Lou, and Xuyan Tu, An integrated scheme of neural network and optimal predictive control, J. Univ. Sci. Technol. Beijing, 9(2002), No. 4, pp. 302-304.
Citation:
Li Peng, Wen Li, Guohuan Lou, and Xuyan Tu, An integrated scheme of neural network and optimal predictive control, J. Univ. Sci. Technol. Beijing, 9(2002), No. 4, pp. 302-304.
An approach of adaptive predictive control with a new structure and a fast algorithm of neural network (NN) is proposed. NN modeling and optimal predictive control are combined to achieve both accuracy and good control performance. The output of nonlinear network model is adopted as a measured disturbance that is therefore weakened in predictive feed-forward control. Simulation and practical application show the effectiveness of control by the proposed approach.
An approach of adaptive predictive control with a new structure and a fast algorithm of neural network (NN) is proposed. NN modeling and optimal predictive control are combined to achieve both accuracy and good control performance. The output of nonlinear network model is adopted as a measured disturbance that is therefore weakened in predictive feed-forward control. Simulation and practical application show the effectiveness of control by the proposed approach.
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