Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Adaptive-gain Extended Kalman Filter: Extension to the Continuous-discrete Case
Boizot, Nicolas; Busvelle, Eric; Gauthier, Jean-Paul
200910th European Control Conference (ECC'09)
 

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Abstract :
[en] In the present article we propose a nonlinear observer that merges the behaviors 1) of an extended Kalman filter, mainly designed to smooth off noise , and 2) of high-gain observers devoted to handle large perturbations in the state estimation. We specifically aim at continuous-discrete systems. The strategy consists in letting the high-gain self adapt according to the innovation. We define innovation computed over a time window and justify its usage via an important lemma. We prove the general convergence of the resulting observer.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Identifiers :
UNILU:UL-CONFERENCE-2009-899
Author, co-author :
Boizot, Nicolas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Busvelle, Eric
Gauthier, Jean-Paul
Language :
English
Title :
Adaptive-gain Extended Kalman Filter: Extension to the Continuous-discrete Case
Publication date :
2009
Number of pages :
6
Event name :
10th European Control Conference (ECC'09)
Event place :
Budapest, Hungary
Event date :
23-26 August 2009
Available on ORBilu :
since 19 March 2014

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