Adaptive Predict Control of Nonlinear System Based on a Modified Neural Network

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Abstract:

Based on a modified neural network with a new structure and a fast algorithm, an approach on adaptive predictive control is represented in this paper. Advantage of neural network modeling accuracy and good control performance of the optimal predictive control are combined. In the meantime, we can take the nonlinear network model output as a kind of measured disturbance, which is overcome in predictive feed-forward control. So the approach achieves satisfied control effectiveness.

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1323-1326

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March 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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