International audienceThis paper deals with the state estimation for a nonlinear diffusion system. An observer that reconstructs the whole state, from the available measurements, is proposed based on an equivalent linear diffusion model obtained using the Kirchhoff tangent transformation. This bijective mapping allows to apply the available and powerful state estimation theory of linear distributed parameter systems and simplifies the observer design. Hence, an observer can be designed for the obtained equivalent linear diffusion system and by using the Kirchhoff transformation, the whole state of the original nonlinear diffusion system is recovered. The observability analysis of the nonlinear diffusion system and the convergence of the pro...
International audienceWe investigate a state estimation problem for an infinite dimensional system a...
This work proposes a detectability condition for linear time-varying systems based on the exponentia...
International audienceThis paper deals with the problem of adaptive estimation, i.e. the simultaneou...
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal ...
The problem of state estimation for a system of coupled hyperbolic PDEs and ODEs with Lipschitz nonl...
International audienceIn this paper we propose a new observer design technique for nonlinear systems...
International audienceThe design problem of a high-gain observer is considered for some 2×2...
International audienceThe design problem of a high-gain observer is considered for some 2 × 2 and 3 ...
Access to measurements is a necessity in most technical applications, in order to detect faults, mon...
In this work, the dissipative nature of spatially distributed process systems is exploited to devel...
International audienceA constructive dead-beat observer design method for nonlinear discrete systems...
We investigate a state estimation problem for an infinite dimensional system appearing in population...
International audienceThis paper addresses the distributed control by input-output linearization of ...
This thesis introduces some non-trivial extensions of the classical high-gain observer design for fi...
This thesis focuses on generating a continuous estimate of state using a small number of sensors for...
International audienceWe investigate a state estimation problem for an infinite dimensional system a...
This work proposes a detectability condition for linear time-varying systems based on the exponentia...
International audienceThis paper deals with the problem of adaptive estimation, i.e. the simultaneou...
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal ...
The problem of state estimation for a system of coupled hyperbolic PDEs and ODEs with Lipschitz nonl...
International audienceIn this paper we propose a new observer design technique for nonlinear systems...
International audienceThe design problem of a high-gain observer is considered for some 2×2...
International audienceThe design problem of a high-gain observer is considered for some 2 × 2 and 3 ...
Access to measurements is a necessity in most technical applications, in order to detect faults, mon...
In this work, the dissipative nature of spatially distributed process systems is exploited to devel...
International audienceA constructive dead-beat observer design method for nonlinear discrete systems...
We investigate a state estimation problem for an infinite dimensional system appearing in population...
International audienceThis paper addresses the distributed control by input-output linearization of ...
This thesis introduces some non-trivial extensions of the classical high-gain observer design for fi...
This thesis focuses on generating a continuous estimate of state using a small number of sensors for...
International audienceWe investigate a state estimation problem for an infinite dimensional system a...
This work proposes a detectability condition for linear time-varying systems based on the exponentia...
International audienceThis paper deals with the problem of adaptive estimation, i.e. the simultaneou...