International audienceIn this paper, algorithms are proposed to design auxiliary signals for active fault detection based on a multi-model formulation of discrete-time systems. Two different scenarios are considered for this problem; the first one assumes there is no a priori information on initial conditions and no exogenous input signal, while the second allows for having a priori information and the possibility of having a known input in addition to the test signal. Approaches are proposed for solving these two types of problems which are capable of solving the problems efficiently. This is achieved by using a recursive approach based on the use of special Riccati equations. These algorithms can be used for systems of higher dimension an...
In this paper the problem of event-triggered fault detection filter for discrete-time linear systems...
This paper studies the problem of fault detection for linear discrete time-varying systems with mult...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...
Active fault detection facilitates determination of the fault characteristics by injecting proper au...
In an active approach for model detection and its use in failure detection, an auxiliary control is ...
Abstract—The focus in this paper is on active fault detection (AFD) for MIMO systems with parametric...
International audienceThis paper is concerned with an active fault diagnosis method is developed bas...
L'objectif de cette thèse est de développer une nouvelle méthodologie pour la détection active de dé...
The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper considers robust fault-detection problems for linear discrete time systems. It is shown t...
The problem of fault and/or abrupt disturbances detection and isolation for discrete linear systems ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems ...
The paper deals with active change detection problem in linear stochastic discrete time systems. In ...
In this paper the problem of event-triggered fault detection filter for discrete-time linear systems...
This paper studies the problem of fault detection for linear discrete time-varying systems with mult...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...
Active fault detection facilitates determination of the fault characteristics by injecting proper au...
In an active approach for model detection and its use in failure detection, an auxiliary control is ...
Abstract—The focus in this paper is on active fault detection (AFD) for MIMO systems with parametric...
International audienceThis paper is concerned with an active fault diagnosis method is developed bas...
L'objectif de cette thèse est de développer une nouvelle méthodologie pour la détection active de dé...
The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper considers robust fault-detection problems for linear discrete time systems. It is shown t...
The problem of fault and/or abrupt disturbances detection and isolation for discrete linear systems ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems ...
The paper deals with active change detection problem in linear stochastic discrete time systems. In ...
In this paper the problem of event-triggered fault detection filter for discrete-time linear systems...
This paper studies the problem of fault detection for linear discrete time-varying systems with mult...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...