NARMAX identification of DC motor model using repulsive particle swarm optimization

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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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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