Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Steven Gillijns"'
Publikováno v:
Mechanical Systems and Signal Processing. 98:292-309
© 2017 Elsevier Ltd This paper presents a recursive algorithm where a time delay is considered in the estimation of the forces applied to a structure and the corresponding system states. In particular when the measured response is not collocated wit
Publikováno v:
BASE-Bielefeld Academic Search Engine
This paper presents a validation of a smoothing algorithm for joint input-state estimation using data obtained from a full-scale experiment on a footbridge. A dynamic model of the footbridge is obtained using a detailed finite element model that is c
Publikováno v:
ATZextra. 19:58-63
Publikováno v:
Special Topics in Structural Dynamics, Volume 6 ISBN: 9783319299099
Design models can drastically improve the applicability of testing and allow measuring previously unmeasurable quantities and designing reduced test configurations. A common workflow is followed: a multiphysics system model provides a prediction of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dead9cdf0ea85440e08f083b3b432dce
https://doi.org/10.1007/978-3-319-29910-5_12
https://doi.org/10.1007/978-3-319-29910-5_12
Publikováno v:
IFAC Proceedings Volumes. 43:725-731
We present a Mechatronics design approach and related technologies for a badminton playing robot, as a first stage of a multi-year project. The robot is using non-modified shuttles and rackets, which are detected and localized using purely visual inf
Autor:
Bart De Moor, Steven Gillijns
Publikováno v:
Automatica. 43:934-937
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased estimation, a recursive filter is derived where the estimation of the s
Autor:
Steven Gillijns, B. De Moor
Publikováno v:
Nonlinear Processes in Geophysics, Vol 14, Iss 1, Pp 59-71 (2007)
A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling (2000) on constant bias errors to time-varying model
Autor:
Bart De Moor, Steven Gillijns
Publikováno v:
Automatica. 43:111-116
This paper addresses the problem of simultaneously estimating the state and the input of a linear discrete-time system. A recursive filter, optimal in the minimum-variance unbiased sense, is developed where the estimation of the state and the input a
Publikováno v:
IFAC Proceedings Volumes. 39:1252-1257
During the last decade, several suboptimal filtering schemes for data assimilation have been proposed. One of these algorithms, which has succesfully been used in several applications, is the Reduced Rank Square Root filter. In this paper, a numerica
Autor:
Kevin Verhaeghe, Jan Anthonis, Herman Van der Auweraer, Mathieu Sarrazin, Steven Gillijns, Karl Janssens
Publikováno v:
2013 World Electric Vehicle Symposium and Exhibition (EVS27).