NARMAX identification of DC motor model using repulsive particle swarm optimization

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NARMAX identification of DC motor model using repulsive particle swarm optimization

This paper explores the usage of repulsive particle swarm optimization (RPSO) to perform Non-linear Auto-Regressive with exogenous input (NARMAX) system identification of Direct Current (DC) motor. The NARMAX model was constructed using a recurrent Artificial Neural Network (ANN) model by Rahim and...

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Bibliographic Details
Published in:	Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
Main Author:	Supeni E.; Yassin I.M.; Ahmad A.; Abdul Rahman F.Y.
Format:	Conference paper
Language:	English
Published:	2009
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349898532&doi=10.1109%2fCSPA.2009.5069176&partnerID=40&md5=9f380f5aa252ee9f234b2b81df2f16b3

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