Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning

Fuentes, R., Dervilis, N. orcid.org/0000-0002-5712-7323, Worden, K. orcid.org/0000-0002-1035-238X et al. (1 more author) (2019) Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning. In: Journal of Physics: Conference Series. 13th International Conference on Recent Advances in Structural Dynamics (RASD), 15-17 Apr 2019, Valpre, Lyon, France. IOP Publishing .

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. (http://creativecommons.org/licenses/by/3.0)
Dates:
  • Accepted: 31 May 2019
  • Published (online): 24 July 2019
  • Published: 24 July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research Council (EPSRC)EP/N018427/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Oct 2019 13:58
Last Modified: 22 Oct 2019 13:58
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1742-6596/1264/1/012050

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