Comparison between PSO and OLS for NARX parameter estimation of a DC motor
Recent works suggest that the Particle Swarm Optimization (PSO) algorithm is a highly-efficient optimization technique for structure selection of NARMAX and its derivative models. This research extends those findings by proposing PSO for parameter estimation of a Nonlinear Auto-Regressive with Exoge...
| Published in: | ISIEA 2013 - 2013 IEEE Symposium on Industrial Electronics and Applications |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897689421&doi=10.1109%2fISIEA.2013.6738962&partnerID=40&md5=016658769390f51de35de0a846bc8c1f |