Particle swarm optimization for NARX structure selection - Application on DC motor model

Particle swarm optimization for NARX structure selection - Application on DC motor model

This paper explores the application of the Binary Particle Swarm Optimization (BPSO) by (Kennedy and Eberhart, 1997) to perform model structure selection of a Non-linear Auto-Regressive model with Exogenous Inputs (NARX) identification of a Direct Current (DC) motor. We describe the application of B...

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Bibliographic Details
Published in:ISIEA 2010 - 2010 IEEE Symposium on Industrial Electronics and Applications
Main Author: Yassin I.M.; Taib M.N.; Rahim N.A.; Salleh M.K.M.; Abidin H.Z.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251548905&doi=10.1109%2fISIEA.2010.5679421&partnerID=40&md5=64769d6a3989b367b2e507e642131ae6

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251548905&doi=10.1109%2fISIEA.2010.5679421&partnerID=40&md5=64769d6a3989b367b2e507e642131ae6

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