Unscented kalman filter for the identification of passive control devices
Date
2013-12-31
Free to read from
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Department
Type
Conference paper
ISSN
Format
Citation
Rosario 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.
Abstract
The 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.
Description
Software Description
Software Language
Github
Keywords
DOI
Rights
©2013 Taylor and Francis. This is the Author Accepted Manuscript.
Please refer to any applicable publisher terms of use.