The purpose of this paper is to study the problem of regional detection, to characterize internal or boundary regionally detectable sources and regionally spy sensors, and to establish a relationship between these sensors and regionally strategic sensors. It is shown how to reconstruct a regionally detectable internal or a boundary source from a given output, with an extension to the case when the output is affected by an observation error. Numerical results are given in the case of a diffusion system
AbstractMost data assimilation (DA) methods define the analysis state (i.e., the optimal state for i...
International audienceThis paper deals with the problem of source localization in diffusion processe...
Abstract: In the past couple of years, sensor networks have evolved to a powerful infrastructure com...
Motivated by the fact that the danger may increase if the source of pollution problem remains unknow...
In this paper we review the concept of regional boundary observability, developed in (Michelitti, 19...
The aim of this paper is to study regional gradient observability for a diffusion system and the rec...
This paper deals with the problem of regional observability of hyperbolic systems in the case where ...
The purpose of this paper is to study the concept of asymptotic regional observer in connection with...
The aim of this paper is to study the regional observer concept through the consideration of sensors...
Introduction. Problem Formulation. The paper deals with a problem of reconstruction of extremal bou...
This paper, deals with the linear infinite dimensional distributed parameter systems in a Hilbert sp...
We study the problem of source localization as a multiple hypothesis testing, where each hypothesis ...
This paper targets the identification of outlying sensors (i.e., outlying-reading sen-sors) and the ...
Consider a diffusion field induced by a finite number of lo-calized and instantaneous sources. In th...
This paper presents a stable method for the identification of sources located on the separation inte...
AbstractMost data assimilation (DA) methods define the analysis state (i.e., the optimal state for i...
International audienceThis paper deals with the problem of source localization in diffusion processe...
Abstract: In the past couple of years, sensor networks have evolved to a powerful infrastructure com...
Motivated by the fact that the danger may increase if the source of pollution problem remains unknow...
In this paper we review the concept of regional boundary observability, developed in (Michelitti, 19...
The aim of this paper is to study regional gradient observability for a diffusion system and the rec...
This paper deals with the problem of regional observability of hyperbolic systems in the case where ...
The purpose of this paper is to study the concept of asymptotic regional observer in connection with...
The aim of this paper is to study the regional observer concept through the consideration of sensors...
Introduction. Problem Formulation. The paper deals with a problem of reconstruction of extremal bou...
This paper, deals with the linear infinite dimensional distributed parameter systems in a Hilbert sp...
We study the problem of source localization as a multiple hypothesis testing, where each hypothesis ...
This paper targets the identification of outlying sensors (i.e., outlying-reading sen-sors) and the ...
Consider a diffusion field induced by a finite number of lo-calized and instantaneous sources. In th...
This paper presents a stable method for the identification of sources located on the separation inte...
AbstractMost data assimilation (DA) methods define the analysis state (i.e., the optimal state for i...
International audienceThis paper deals with the problem of source localization in diffusion processe...
Abstract: In the past couple of years, sensor networks have evolved to a powerful infrastructure com...