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An integrated scheme of neural network and optimal predictive control
Institution:1. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;Department of Automation, Hebei Institute of Technology, Tangshan 063009, China;2. Department of Automation, Hebei Institute of Technology, Tangshan 063009, China;3. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China
Abstract: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.
Keywords:neural network (NN)  optimal predictive control  nonlinear objective
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