An integrated scheme of neural network and optimal predictive control

Li Peng1,2), Wen Li2), Guohuan Lou2), and Xuyan Tu1)1) Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China2) Department of Automation, Hebei Institute of Technology, Tangshan 063009, China

摘 要：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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