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Green, PL and Worden, K
(2015)
Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 373 (2051).
20140405-.
Green, PL, Cross, EJ and Worden, K
(2015)
Bayesian system identification of dynamical systems using highly informative training data.
Mechanical Systems and Signal Processing, 56-57.
pp. 109-122.
Green, PL, Worden, K and Sims, ND
(2013)
On the identification and modelling of friction in a randomly excited energy harvester.
Journal of Sound and Vibration, 332 (19).
pp. 4696-4708.
Scott, M, Green, PL, O’Driscoll, D, Worden, K and Sims, N
(2016)
Sensitivity analysis of an Advanced Gas-cooled Reactor control rod
model.
Nuclear Engineering and Design.
Green, PL, Worden, K, Atallah, K and Sims, ND
(2012)
The benefits of Duffing-type nonlinearities and electrical optimisation of a mono-stable energy harvester under white Gaussian excitations.
Journal of Sound and Vibration, 331 (20).
pp. 4504-4517.
Worden, K and Green, P
(2017)
A machine learning approach to nonlinear modal analysis.
Mechanical Systems and Signal Processing, 84 (Part B).
pp. 34-53.