International audienceThis paper addresses the problem of checkingpredictability of event patterns in labelled Petrinets. After formally introducing the predictabil-ity problem of an event pattern, a method for au-tomatically checking predictability is proposed.The proposed method has two steps. The firstone consists in checking diagnosability of eventpatterns which is a necessary condition for pre-dictability. And, if diagnosability holds, the sec-ond step is launched and concludes about thepredictability of the investigated event pattern.The proposed method uses a model-checking ap-proach and is fully implemented with the help ofa model-checking toolchain
In this paper we propose a novel approach to perform codiagnosability analysis of bounded Petri nets...
International audienceThe problem of predicting the occurrences of a pattern in a partially-observed...
In this paper, we propose a novel approach to perform codiagnosability analysis of labeled bounded P...
International audienceThis paper addresses the problem of checkingpredictability of event patterns i...
International audienceChecking the diagnosability of a discrete event system aims at determining whe...
International audienceChecking the diagnosability of a time discrete event system usually consists i...
Best paper awardInternational audienceThis paper addresses the problem of identifying whether a give...
International audienceThis paper deals with the problem of fault pattern diagnosis in discrete event...
A fault-predictable discrete event system (DES) is a system where any fault can be correctly predict...
This paper addresses the problem of checking diagnosability of supervision patterns in discrete-even...
In this thesis problems of diagnosis and prediction of event sequences in dynamic systems modeled us...
In this paper we focus on labeled Petri nets with silent transitions that may either corre-spond to ...
In this paper we analyze the diagnosability properties of labeled Petri nets. We consider the standa...
International audienceWe propose a method to decide the diagnosability of patterns in labeled Time P...
International audienceThis paper investigates the problem of pattern diagnosis of systems modeled as...
In this paper we propose a novel approach to perform codiagnosability analysis of bounded Petri nets...
International audienceThe problem of predicting the occurrences of a pattern in a partially-observed...
In this paper, we propose a novel approach to perform codiagnosability analysis of labeled bounded P...
International audienceThis paper addresses the problem of checkingpredictability of event patterns i...
International audienceChecking the diagnosability of a discrete event system aims at determining whe...
International audienceChecking the diagnosability of a time discrete event system usually consists i...
Best paper awardInternational audienceThis paper addresses the problem of identifying whether a give...
International audienceThis paper deals with the problem of fault pattern diagnosis in discrete event...
A fault-predictable discrete event system (DES) is a system where any fault can be correctly predict...
This paper addresses the problem of checking diagnosability of supervision patterns in discrete-even...
In this thesis problems of diagnosis and prediction of event sequences in dynamic systems modeled us...
In this paper we focus on labeled Petri nets with silent transitions that may either corre-spond to ...
In this paper we analyze the diagnosability properties of labeled Petri nets. We consider the standa...
International audienceWe propose a method to decide the diagnosability of patterns in labeled Time P...
International audienceThis paper investigates the problem of pattern diagnosis of systems modeled as...
In this paper we propose a novel approach to perform codiagnosability analysis of bounded Petri nets...
International audienceThe problem of predicting the occurrences of a pattern in a partially-observed...
In this paper, we propose a novel approach to perform codiagnosability analysis of labeled bounded P...