Bayesian inference for uncertain dynamic systems
Bayesian inference for uncertain dynamic systems
Bayesian inference methods are applied to linear structural dynamic systems with uncertain components. Using an exact low-rank update of the transfer function, the uncertainties may be isolated at the level of the parameters of the system. This allows convenient derivation of the probability of the system response and relatively straightforward application of Bayesian methods. Several such applications are presented analytically and illustrated on benchmark examples.
bayesian inference methods, structural dynamics, transfer function, low-rank update, probability density function
0854329102
13pp
University of Southampton
Lecomte, Christophe
87cdee82-5242-48f9-890d-639a091d0b9c
Forster, J.J.
e3c534ad-fa69-42f5-b67b-11617bc84879
Mace, B.R.
681dd501-6313-441d-86e6-20a90fada824
Ferguson, N.S.
8cb67e30-48e2-491c-9390-d444fa786ac8
July 2010
Lecomte, Christophe
87cdee82-5242-48f9-890d-639a091d0b9c
Forster, J.J.
e3c534ad-fa69-42f5-b67b-11617bc84879
Mace, B.R.
681dd501-6313-441d-86e6-20a90fada824
Ferguson, N.S.
8cb67e30-48e2-491c-9390-d444fa786ac8
Lecomte, Christophe, Forster, J.J., Mace, B.R. and Ferguson, N.S.
(2010)
Bayesian inference for uncertain dynamic systems.
Brennan, M.J., Kovacic, Ivana, Lopes, V., Murphy, K., Petersson, B., Rizzi, S. and Yang, T.
(eds.)
In Recent Advances Structural Dynamics: Proceedings of the X International Conference.
University of Southampton.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Bayesian inference methods are applied to linear structural dynamic systems with uncertain components. Using an exact low-rank update of the transfer function, the uncertainties may be isolated at the level of the parameters of the system. This allows convenient derivation of the probability of the system response and relatively straightforward application of Bayesian methods. Several such applications are presented analytically and illustrated on benchmark examples.
This record has no associated files available for download.
More information
Published date: July 2010
Additional Information:
Paper No. 162 (Format - USB Pen Drive)
Keywords:
bayesian inference methods, structural dynamics, transfer function, low-rank update, probability density function
Organisations:
Statistical Sciences Research Institute, Dynamics Group
Identifiers
Local EPrints ID: 160701
URI: http://eprints.soton.ac.uk/id/eprint/160701
ISBN: 0854329102
PURE UUID: c03e1b69-4f0c-493c-95c7-78c5ce780664
Catalogue record
Date deposited: 20 Jul 2010 14:44
Last modified: 23 Feb 2023 02:36
Export record
Contributors
Author:
Christophe Lecomte
Author:
J.J. Forster
Author:
B.R. Mace
Editor:
M.J. Brennan
Editor:
Ivana Kovacic
Editor:
V. Lopes
Editor:
K. Murphy
Editor:
B. Petersson
Editor:
S. Rizzi
Editor:
T. Yang
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics