Unscented kalman filter for the identification of passive control devices

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dc.contributor.authorCeravolo, Rosario
dc.contributor.authorDe Stefano, Alessandro
dc.contributor.authorMatta, Emiliano
dc.contributor.authorQuattrone, Antonino
dc.contributor.authorZanotti Fragonara, Luca
dc.date.accessioned2017-08-01T09:07:31Z
dc.date.available2017-08-01T09:07:31Z
dc.date.issued2013-12-31
dc.description.abstractThe Unscented Kalman Filter (UKF) is a technique which allows dealing with nonlinear systems and it is able to handle any type of non-linearity. In detail, differently from Extended Kalman Filter (EKF), UKF does not require the computation of the Jacobian of the non-linear function. Estimation of parameters through the UKF approach is an indirect procedure, consisting of transforming the parameter estimation problem into a state estimation problem. This is done by augmenting the system state vector by artificially defining the unknown parameters as additional state variables. In the present study the UKF is proposed to the purpose of the nonlinear identification of rolling-pendulum tuned vibration absorbers.en_UK
dc.identifier.citationRosario Ceravolo, Alessandro De Stefano, Emiliano Matta, Antonino Quattrone and Luca Zanotti Fragonara. Unscented kalman filter for the identification of passive control devices. Proceedings of the Fifth International Conference on Structural Engineering and Computation, 2-4 September 2013, Cape Town, South Africa.en_UK
dc.identifier.isbn9781138000612
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12255
dc.language.isoenen_UK
dc.publisherTaylor & Francisen_UK
dc.rights©2013 Taylor and Francis. This is the Author Accepted Manuscript. Please refer to any applicable publisher terms of use.
dc.titleUnscented kalman filter for the identification of passive control devicesen_UK
dc.typeConference paperen_UK

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