Bayesian system identification of MDOF nonlinear systems using highly informative training data

Green, P.L. (2014) Bayesian system identification of MDOF nonlinear systems using highly informative training data. In: Allemang, R., (ed.) Topics in Modal Analysis II, Volume 8 : Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014. 32nd IMAC, A Conference and Exposition on Structural Dynamics, 03-06 Feb 2014, Orlando, Florida USA. Conference Proceedings of the Society for Experimental Mechanics Series, 8 . Springer , pp. 257-265. ISBN 9783319047737

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Green, P.L.
Editors:
  • Allemang, R.
Copyright, Publisher and Additional Information:

© 2014 The Society for Experimental Mechanics, Inc. This is an author produced version of a paper subsequently published in the Proceedings of IMAC XXXII, Conference and Exposition on Structural Dynamics.
Keywords: System Identification; Bayesian Inference; Markov chain Monte Carlo; Shannon Entropy; Nonlinear Dynamics
Dates:
  • Published: 5 April 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Nov 2014 09:46
Last Modified: 18 Jan 2021 09:04
Status: Published
Publisher: Springer
Series Name: Conference Proceedings of the Society for Experimental Mechanics Series
Refereed: Yes
Identification Number: 10.1007/978-3-319-04774-4_25
Open Archives Initiative ID (OAI ID):

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