Mehdi Bayoudh

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This paper deals with the problem of diagnosing systems that exhibit both continuous and discrete event dynamics. The proposed approach combines techniques from both continuous and discrete event diagnosis fields. On the on hand, an extension of the parity space approach is used to associate signatures to every operational mode of the system. On the other(More)
In this paper we propose a hybrid system modeling framework aimed at analyzing diagnosability. In this framework, the hybrid system is seen as the composition of an underlying discrete event and an underlying continuous systems. Diagnosability of these two underlying systems are fully analyzed and new results are provided for the underlying continuous(More)
The aim of the study was to evaluate the seroprevalence of Anaplasma phagocytophilum in dromedary (Camelus dromedarius). Sera of 226 healthy dromedaries from three regions of Tunisia (Sidi Bouzid, Bouficha and Douz) were tested by indirect immunofluorescence (IFA). The overall infection rate was estimated at 29.2%. The study of risk factors showed that(More)
On-line model based reconfiguration is generally used to improve the ability of a system to tolerate faults. Recovery after fault occurrence relies on allowing the system to proceed with its mission from a new known nominal state. In this paper, we consider on-line reconfiguration from a novel point of view, having in mind to use reconfiguration actions to(More)
Estimating the state of a hybrid system means accounting for the mode of operation or failure and the current state of the continuously valued entities concurrently. Existing hybrid estimation schemes try to overcome the problem of an exponentially growing number of possible mode-sequence/continuous-state combinations by merging hypotheses and/or deducing(More)
Embedded controlled systems often undergo non-linear behaviors due in particular to actuator saturations. A way to tackle these non linearities is to model them by Piece-Wise-Affine (PWA) functions and to define an operating mode for each region of linear behavior. However, the number of components that could introduce saturations leads to an explosion of(More)
Tracking the evolution of hybrid systems from partial observations means tracking the continuously-valued state evolution and the interleaved discrete mode changes. Existing estimation schemes suffer from the exponential blow up of the number of hypotheses to be tracked and fall into suboptimal methods. On the other hand, hybrid parity-based mode estimation(More)
On-line diagnosis must accommodate the existing sensoring capabilities of a system, which often results in limited diagnosability. However, although faults may not be always discriminable, there are generally operating modes of the system in which they are. Active diagnosis relies on applying specific inputs to the system so as to exhibit additional(More)