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Neural network for constrained predictive control

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3 Author(s)
J. M. Quero ; Dept. de Ingeniera Electron., Seville Univ., Spain ; E. F. Camacho ; L. G. Franquelo

Presents the way in which optimization neural nets can be used to implement generalized predictive control for systems with constrained inputs and outputs. A set of recursive formulas to obtain the net parameters from the process parameters for first-order systems is given. The results obtained by simulation and electronic implementation of the neural net are presented

Published in:

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications  (Volume:40 ,  Issue: 9 )