Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler

Abdessalem, A.B., Dervilis, N., Wagg, D. et al. (1 more author) (2016) Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler. In: Proceedings of ISMA2016 including USD2016. ISMA2016, 19-21 September 2016, Leuven, Belgium. , pp. 2551-2566.

Abstract

Metadata

Authors/Creators:
  • Abdessalem, A.B.
  • Dervilis, N.
  • Wagg, D.
  • Worden, K.
Copyright, Publisher and Additional Information: © 2016 KU Leuven - Departement Werktuigkunde
Dates:
  • Published: 12 October 2016
  • Published (online): 12 October 2016
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 SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/2
Depositing User: Symplectic Sheffield
Date Deposited: 19 Oct 2016 14:47
Last Modified: 19 Oct 2016 14:47
Status: Published
Refereed: Yes

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