J-A hysteresis model parameters estimation using GA

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dc.contributor.author Zidarič, Bogomir
dc.contributor.author Miljavec, Damijan
dc.date.accessioned 2011-01-21T06:46:14Z
dc.date.available 2011-01-21T06:46:14Z
dc.date.issued 2005
dc.identifier.citation Advances in electrical and electronic engineering. 2005, vol. 4, no. 3, p. 174-177. en
dc.identifier.issn 1336-1376
dc.identifier.uri http://hdl.handle.net/10084/83690
dc.description.abstract This paper presents the Jiles and Atherton (J-A) hysteresis model parameter estimation for soft magnetic composite (SMC) material. The calculation of Jiles and Atherton hysteresis model parameters is based on experimental data and genetic algorithms (GA). Genetic algorithms operate in a given area of possible solutions. Finding the best solution of a problem in wide area of possible solutions is uncertain. A new approach in use of genetic algorithms is proposed to overcome this uncertainty. The basis of this approach is in genetic algorithm built in another genetic algorithm. en
dc.format.extent 107271 bytes cs
dc.format.mimetype application/pdf cs
dc.language.iso en en
dc.publisher Žilinská univerzita v Žiline. Elektrotechnická fakulta en
dc.relation.ispartofseries Advances in electrical and electronic engineering en
dc.relation.uri http://advances.utc.sk/index.php/AEEE en
dc.rights Creative Commons Attribution 3.0 Unported (CC BY 3.0) en
dc.rights © Žilinská univerzita v Žiline. Elektrotechnická fakulta en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.title J-A hysteresis model parameters estimation using GA en
dc.type Article en
dc.rights.access openAccess cs
dc.type.version publishedVersion cs
dc.type.status Peer-reviewed cs

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