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Abstract Executions of Stochastic Discrete Event Systems
Michel Batteux, Tatiana Prosvirnova, Antoine Rauzy

Abstract Executions of Stochastic Discrete Event Systems

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

Stochastic discrete event systems play a steadily increasing role in reliability engineering and beyond in systems engineering. Designing stochastic discrete event systems presents however well-known difficulties: models are hard to debug and to validate because of the existence of infinitely many possible executions, itself due to stochastic delays, which are possibly intertwined with deterministic ones. In this article, revisiting ideas introduced in the framework of model-checking of timed and hybrid systems, we show that it is possible to abstract the time in stochastic discrete event systems. More specifically, we show that schedules of transitions can be abstracted into systems of linear inequalities and that abstract and concrete executions are bisimilar. The result presented in this article represents thus a very important step forward in quality assurance of stochastic models of complex technical systems. We illustrate the potential of the proposed approach by means of AltaRica 3.0 models.

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Document Information

Document Title Abstract Executions of Stochastic Discrete Event Systems
Author / Organization Michel Batteux, Tatiana Prosvirnova, Antoine Rauzy
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-20911
Original Source Link Visit Source Page on hal.science »