Statistical Model Checking for Stochastic Hybrid Systems

This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extensions allow for statistical model checking of stochastic hybrid systems. We show how our race-based stochastic semantics extends to networks of hybrid systems, and indicate the integration technique appli...

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Hlavní autoři: Danny Bøgsted Poulsen, Sean Sedwards, Axel Legay, Marius Mikučionis, Kim G. Larsen, Dehui Du, Alexandre David
Médium: Článek
Jazyk:English
Vydáno: Open Publishing Association 2012-08-01
Edice:Electronic Proceedings in Theoretical Computer Science
On-line přístup:http://arxiv.org/pdf/1208.3856v1
Popis
Shrnutí:This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extensions allow for statistical model checking of stochastic hybrid systems. We show how our race-based stochastic semantics extends to networks of hybrid systems, and indicate the integration technique applied for implementing this semantics in the UPPAAL-SMC simulation engine. We report on two applications of the resulting tool-set coming from systems biology and energy aware buildings.
ISSN:2075-2180