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...
Published in: | ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics |
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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
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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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