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

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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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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