Journal of Automation and Information Sciences
Publication de 12 numéros par an
ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Predictive Control of Nonlinear Objects Using Evolving Feedforward Neural Networks
Volume 47,
Numéro 12, 2015,
pp. 18-28
DOI: 10.1615/JAutomatInfScien.v47.i12.20
RÉSUMÉ
The development of a method of nonlinear objects control with the evolving feedforward neural networks is considered. The neural networks are used to build a nonlinear model of the object which is then utilized for recursive prediction of the object behavior in the model predictive control system. Genetic algorithms used for the neural network training significantly speed up the training process. The simulation results confirm the effectiveness of the proposed control method.
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