International audienceThis paper is concerned with the study of observability in a structured framework. It turns out that the system is structurally observable if and only if the system is output connected and contains no contraction. We focus our attention on the observability preservation under sensor failure. We consider linear observable systems and we wonder if a given system remains observable in case of sensor failure. More precisely we will characterize among the sensors those which are critical \emph{i.e.} which failure leads to observability loss, those which are useless for observability purpose and the set of those which are useful without being critical. Using a graph approach we classify the sensors with respect to their impo...
Abstract: In control systems, the most natural way to model failures of hardware components is intro...
A sparse linear system constitutes a valid model for a broad range of physical systems, such as elec...
In this work, we are interested in sensor location and classification problems for control and obser...
International audienceThis paper is concerned with the study of property preservation under sensor f...
International audienceThis paper addresses the sensor classification problem for fault detection and...
We provide algorithmically verifiable necessary and sufficient conditions for fundamental system the...
We provide algorithmically verifiable necessary and sufficient conditions for fundamental system the...
This paper considers the problem of simultaneous sensor fault detection, isolation, and networked es...
In this article we study observability in discrete time system with faulty sensor. The sensor produc...
A scheme for solving the sensor failure detection, isolation and accommodation (FDIA) problem in opt...
Abstract: The model-based approach to fault detection and isolation in automated process has receive...
In this paper, we study the problem of jointly retrieving the state of a dynamical system, as well a...
International audienceClassical definitions of observability classify a system as either being obser...
International audienceWe consider here the Fault Detection and Isolation (FDI) problem for linear sy...
We consider the problem of analyzing observability in discrete-time linear systems when the sensors,...
Abstract: In control systems, the most natural way to model failures of hardware components is intro...
A sparse linear system constitutes a valid model for a broad range of physical systems, such as elec...
In this work, we are interested in sensor location and classification problems for control and obser...
International audienceThis paper is concerned with the study of property preservation under sensor f...
International audienceThis paper addresses the sensor classification problem for fault detection and...
We provide algorithmically verifiable necessary and sufficient conditions for fundamental system the...
We provide algorithmically verifiable necessary and sufficient conditions for fundamental system the...
This paper considers the problem of simultaneous sensor fault detection, isolation, and networked es...
In this article we study observability in discrete time system with faulty sensor. The sensor produc...
A scheme for solving the sensor failure detection, isolation and accommodation (FDIA) problem in opt...
Abstract: The model-based approach to fault detection and isolation in automated process has receive...
In this paper, we study the problem of jointly retrieving the state of a dynamical system, as well a...
International audienceClassical definitions of observability classify a system as either being obser...
International audienceWe consider here the Fault Detection and Isolation (FDI) problem for linear sy...
We consider the problem of analyzing observability in discrete-time linear systems when the sensors,...
Abstract: In control systems, the most natural way to model failures of hardware components is intro...
A sparse linear system constitutes a valid model for a broad range of physical systems, such as elec...
In this work, we are interested in sensor location and classification problems for control and obser...