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

K. Worden, G. Kerschen, A. F. Vakakis, J. C. Golinval

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationIMAC-XXV - Celebrating 25 Years of IMAC
StatePublished - 2007
Externally publishedYes
Event25th Conference and Exposition on Structural Dynamics 2007, IMAC-XXV - Orlando, FL, United States
Duration: Feb 19 2007Feb 22 2007

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Other

Other25th Conference and Exposition on Structural Dynamics 2007, IMAC-XXV
Country/TerritoryUnited States
CityOrlando, FL
Period2/19/072/22/07

ASJC Scopus subject areas

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

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