BibTeX
@MISC{_fitu,
author = {},
title = {fi tu R},
year = {}
}
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Abstract
evis ine Two novel forms of the extended Kalman filter (EKF) are proposed for parameter estimation in the context of problems of interest in structural mechanics. These filters are based on variants of the derivative-free locally transversal linearization (LTL) and multi-step framework for time-domain identification of structural sys-were focused on application of linearization techniques which have led to the development of the extended Kalman are computationally intensive but have wide-ranging capa-and often constitute a set of ordinary differential equations (ODEs). The measurements are typically made on displace-ments, velocities, accelerations, strains and/or support reactions. Furthermore, the process and measurement equations are often taken to be contaminated by additive Gaussian noise processes. These noises themselves are
Keyphrases
fi tu additive gaussian noise extended kalman filter parameter estimation ordinary differential equation time-domain identification multi-step framework wide-ranging capa-and structural mechanic novel form extended kalman linearization technique measurement equation support reaction transversal linearization
