An aggregation method of Markov graphs for the reliability analysis of hybrid systems |
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Authors: | Raphaë l Schoenig,Jean-Franç ois Aubry |
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Affiliation: | a Centre de Recherche en Automatique de Nancy (CRAN), 2, avenue de la Forêt de Haye, 54516 Vandoeuvre-lès-Nancy, France b GFI Consulting, 12, rue Rouget de Lisle, 92442 Issy les Moulineaux, France c PSA Peugeot Citroën, 18, rue des Fauvelles, 92256 La Garenne Colombes, France |
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Abstract: | To meet always increasing safety requirements in car industry, design and safety assessment methods are developed in order to fit the complexity of new embedded mecatronic systems. Hybrid (discrete/continuous) and dynamic features, specific to these systems, require choosing a suitable formalism. These features should also be considered in safety studies made all through the system design. The aim of this paper is to propose a quantitative analysis method based on the construction of an aggregated Markov graph, which allows a limitation of the combinatorial expansion. This graph is directly deducted from the Petri net modelling of the system. It is composed by a set of functional modes and a set of transitions to which statistical information regarding the system dynamics has been added. |
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Keywords: | Control systems Simulation Markov graphs Aggregation Petri nets Dynamic hybrid systems |
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