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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

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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
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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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