Comparison between PSO, NE, QR, SVD methods for least squares DC motor identification

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Comparison between PSO, NE, QR, SVD methods for least squares DC motor identification

This paper explores the application of the Particle Swarm Optimization (PSO) algorithm for parameter estimation of a Nonlinear Auto-Regressive with Exogeneous Model (NARX) of a Direct Current (DC) motor. The two-step identification step consists of structure selection and parameter estimation. The s...

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Bibliographic Details
Published in:	ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics
Main Author:	Abdullah S.M.; Yassin I.M.; Tahir N.M.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959064884&doi=10.1109%2fISCAIE.2015.7298337&partnerID=40&md5=864dc2d19db673d2bc9e0f6e0fbaaf8b

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