Name
Abstract | ||
|---|---|---|
In this paper, we consider an extension of conventional Kalman filtering to discrete time linear models with bounded uncertainties on parameters and gaussian measurement noise. To solve the interval matrix inversion problem involved in the equations of the Kalman filter and the over-bounding problem due to interval calculus, we propose an original approach combining the set inversion algorithm SIVIA and constraint propagation. The improved interval Kalman filter is applied in a fault detection schema illustrated by a simple case study. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CDC.2013.6759929 | CDC |
Keywords | Field | DocType |
set-membership methods,sivia,uncertain systems,over-bounding problem,kalman filters,discrete time filters,fault detection schema,set theory,gaussian measurement noise,discrete time linear models,set inversion algorithm,interval kalman filtering,bounded uncertainties,constraint propagation,fault diagnosis,matrix inversion,constraint handling,gaussian noise,interval matrix inversion problem,interval calculus | Mathematical optimization,Extended Kalman filter,Local consistency,Fast Kalman filter,Fault detection and isolation,Control theory,Computer science,Kalman filter,Set inversion,Invariant extended Kalman filter,Gaussian noise | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4673-5714-2 | 3 |
PageRank | References | Authors |
0.61 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Xiong | 1 | 3 | 0.61 |
| Carine Jauberthie | 2 | 25 | 7.36 |
| L. Travé/-massuyè/s | 3 | 394 | 54.06 |
| Francoise Le Gall | 4 | 6 | 1.44 |