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Online tracking of inputs, states and parameters of structural dynamic systems

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

© 2019 Taylor & Francis Group, London. This paper presents a novel filtering algorithm for joint input-state-parameter estimation. The algorithm is derived from an existing joint input-state estimation algorithm. In each step, the system model is linearized around the current state, yielding an algorithm which is similar to the Extended Kalman filter. It is shown that, in the application to linear structural dynamic systems, the analytical expressions for the Jacobian matrices involved in the linearization are readily available due to the choice of parametrization. The proposed methodology is verified by numerical simulations for a four story shear building.
Boek: Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
Pagina's: 211 - 217
ISBN:978-1-138-62633-1
Jaar van publicatie:2018
BOF-keylabel:ja
IOF-keylabel:ja
Authors from:Higher Education