International audienceThe extended Kalman filter is an exponentially converging observer as soon as it is written in a canonical form of observability and in its high-gain form. It is shown that unlike extended Kalman filter, unscented Kalman filter can not be an exponentially converging observer. We propose a slight modification of the unscented Kalman filter to build an exponentially converging observer called unscented Kalman observer. Performances of this new observer are illustrated on an example of geolocation problem.Dans sa forme canonique d’observabilité et dans l'hypothèse grand-gain, le filtre de Kalman étendu est un observateur à convergence exponentiell. Il est montré que contrairement au filtre de Kalman étendu, le filtre de K...
This letter proposes to apply the Kalman-like observer paradigm to general nonlinear systems by line...
Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalm...
For linear systems, the Kalman filter perfectly handles rank deficiencies in the process noise covar...
International audienceIn this paper we propose a modification of the Unscented Kalman filter (UKF) s...
In the present article we propose a nonlinear observer that merges the behaviors 1) of an extended K...
The unscented Kalman filter (UKF) has become a popular alternative to the extended Kalman filter (EK...
This technical note presents a case of practical exponential observer using extended Kalman filter (...
Abstract. In this paper, following ideas already developped in [10], we con-struct an observer for n...
Abstract. In this paper, following ideas already developped in [10], we con-struct an observer for n...
Cover title. "This paper has been submitted for publication to the Journal of Mathematics of Control...
The objective of this paper is to explore the standard Kalman filter and two non-linear variations. ...
Cette thèse étudie l'utilisation de variables d'erreurs non linéaires dans la conception de filtres ...
International audienceThis article proposes a novel approach for nonlinear state estimation. It comb...
The Kalman filter has been widely used for estimation and tracking of linear systems since its formu...
The work concerns the “observability problem”—the reconstruction of a dynamic process’s full state f...
This letter proposes to apply the Kalman-like observer paradigm to general nonlinear systems by line...
Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalm...
For linear systems, the Kalman filter perfectly handles rank deficiencies in the process noise covar...
International audienceIn this paper we propose a modification of the Unscented Kalman filter (UKF) s...
In the present article we propose a nonlinear observer that merges the behaviors 1) of an extended K...
The unscented Kalman filter (UKF) has become a popular alternative to the extended Kalman filter (EK...
This technical note presents a case of practical exponential observer using extended Kalman filter (...
Abstract. In this paper, following ideas already developped in [10], we con-struct an observer for n...
Abstract. In this paper, following ideas already developped in [10], we con-struct an observer for n...
Cover title. "This paper has been submitted for publication to the Journal of Mathematics of Control...
The objective of this paper is to explore the standard Kalman filter and two non-linear variations. ...
Cette thèse étudie l'utilisation de variables d'erreurs non linéaires dans la conception de filtres ...
International audienceThis article proposes a novel approach for nonlinear state estimation. It comb...
The Kalman filter has been widely used for estimation and tracking of linear systems since its formu...
The work concerns the “observability problem”—the reconstruction of a dynamic process’s full state f...
This letter proposes to apply the Kalman-like observer paradigm to general nonlinear systems by line...
Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalm...
For linear systems, the Kalman filter perfectly handles rank deficiencies in the process noise covar...