Parameter estimation of Bouc-Wen hysteretic systems using a Sawtooth Genetic Algorithm

Charalampakis, AE; Koumousis, VK

dc.contributor.author	Charalampakis, AE	en
dc.contributor.author	Koumousis, VK	en
dc.date.accessioned	2014-03-01T02:50:51Z
dc.date.available	2014-03-01T02:50:51Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35158
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84858668856&partnerID=40&md5=53d12a97d1d8eacdbc64d9cdf131bc4c	en
dc.subject	Bouc-Wen	en
dc.subject	Genetic algorithms	en
dc.subject	Hysteretic systems	en
dc.subject	Identification	en
dc.subject	Parameter estimation	en
dc.subject.other	Bouc-Wen	en
dc.subject.other	Hysteretic systems	en
dc.subject.other	Reinitialization	en
dc.subject.other	Variable population sizes	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Population statistics	en
dc.subject.other	Hysteresis	en
dc.title	Parameter estimation of Bouc-Wen hysteretic systems using a Sawtooth Genetic Algorithm	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	This paper deals with the identification of a generic Bouc-Wen hysteretic system. It utilizes the so-called Sawtooth Genetic Algorithm that combines variable population size and periodic partial reinitialization of the population. It is shown that, although the complexity of the problem is significant, the Sawtooth GA can rapidly provide very accurate results for engineering purposes. © 2006 Civil-Comp Press.	en
heal.journalName	Proceedings of the 5th International Conference on Engineering Computational Technology	en