International audienceThis paper investigates an adaptation of the Kalman filter for linear continuous-discrete system with multi-rate sampled outputs. The contribution of this article is twofold. First, we prove the exponential convergence of this observer through the existence of bounds for the Riccati matrix. Second, we highlight a technical point that allows us, under certain conditions on the sampling procedure, to prove the stability of the Riccati equation, and show that observability is preserved under multi-rate sampling. An example with two sensor outputs is given for illustration. This study can lead to applications in mobile robotics where sensors produce outputs at different rates and asynchronously
We consider a dynamical system where the state equation is given by a linear stochastic differential...
Abstract — We study the Kalman filtering problem when part or all of the observation measurements ar...
A sampled-data observer is proposed for linear continuous-time systems whose outputs are sequentiall...
International audienceThis paper investigates an adaptation of the Kalman filter for linear continuo...
International audienceThis paper investigates an adaptation of the high-gain Kalman filter for nonli...
The aim of observability studies and observer design is to reconstruct the state of a dynamic system...
L’étude de l’observabilité et la synthèse d’observateur ont pour vocation la reconstruction de l’éta...
The optimal filtering problem for systems subject to both the discrete and continuous measurements i...
Abstract — A set of N independent Gaussian linear time invariant systems is observed by M sensors wh...
International audienceThis paper details the implementation of an asynchronous high-gain Kalman filt...
In this paper, a time-varying observer for a linear continuous-time plant with asynchronous sampled ...
In this article, we complement recent results on the convergence of the state estimate obtained by a...
International audienceIn this paper, a new observer is proposed for the state estimation of time-inv...
Abstract—A set of N independent Gaussian linear time-invariant systems is observed by M sensors whos...
International audienceWe study continuous-time nonlinear systems, first in the case where there are ...
We consider a dynamical system where the state equation is given by a linear stochastic differential...
Abstract — We study the Kalman filtering problem when part or all of the observation measurements ar...
A sampled-data observer is proposed for linear continuous-time systems whose outputs are sequentiall...
International audienceThis paper investigates an adaptation of the Kalman filter for linear continuo...
International audienceThis paper investigates an adaptation of the high-gain Kalman filter for nonli...
The aim of observability studies and observer design is to reconstruct the state of a dynamic system...
L’étude de l’observabilité et la synthèse d’observateur ont pour vocation la reconstruction de l’éta...
The optimal filtering problem for systems subject to both the discrete and continuous measurements i...
Abstract — A set of N independent Gaussian linear time invariant systems is observed by M sensors wh...
International audienceThis paper details the implementation of an asynchronous high-gain Kalman filt...
In this paper, a time-varying observer for a linear continuous-time plant with asynchronous sampled ...
In this article, we complement recent results on the convergence of the state estimate obtained by a...
International audienceIn this paper, a new observer is proposed for the state estimation of time-inv...
Abstract—A set of N independent Gaussian linear time-invariant systems is observed by M sensors whos...
International audienceWe study continuous-time nonlinear systems, first in the case where there are ...
We consider a dynamical system where the state equation is given by a linear stochastic differential...
Abstract — We study the Kalman filtering problem when part or all of the observation measurements ar...
A sampled-data observer is proposed for linear continuous-time systems whose outputs are sequentiall...