Nonlinear system identification in structural dynamics: A short (and biased) history

Worden, K; Kerschen, G; Vakakis, AF; Golinval, JC

dc.contributor.author	Worden, K	en
dc.contributor.author	Kerschen, G	en
dc.contributor.author	Vakakis, AF	en
dc.contributor.author	Golinval, JC	en
dc.date.accessioned	2014-03-01T02:51:08Z
dc.date.available	2014-03-01T02:51:08Z
dc.date.issued	2007	en
dc.identifier.issn	21915644	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35391
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84861548219&partnerID=40&md5=99f727283c11b4a3497e3011da60a53a	en
dc.subject.other	Input/output datum	en
dc.subject.other	Mathematical theory	en
dc.subject.other	Linear systems	en
dc.subject.other	Nonlinear dynamical systems	en
dc.subject.other	Structural dynamics	en
dc.title	Nonlinear system identification in structural dynamics: A short (and biased) history	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	Although linear systems are now very well-understood in the context of structural dynamics, this is not at all the case for nonlinear systems. In particular, despite huge advances in the mathematical theory of nonlinear dynamical systems, progress in the difficult field of nonlinear system identification (learning of models from measured input/output data) has largely remained fairly slow and incremental. This is not to say that there have been no major successes in the field in its comparatively short history, and the objective of this paper is to present some of the highlights, as perceived by the authors, and to pave the way for a second paper discussing new developments and possibilities for the future.	en
heal.journalName	Conference Proceedings of the Society for Experimental Mechanics Series	en