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Number of items: 6.

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).

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. 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). 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). 4504 - 4517.

Worden, K and Green, P
(2017) A machine learning approach to nonlinear modal analysis. Mechanical Systems and Signal Processing, 84 (Part B). 34 - 53.

This list was generated on Tue May 4 06:16:30 2021 BST.