Statistical Model Checking for Stochastic Hybrid Systems

Alexandre David
(Aalborg University)
Dehui Du
(East China Normal University)
Kim G. Larsen
(Aalborg University)
Axel Legay
(INRIA Rennes)
Marius Mikučionis
(Aalborg University)
Danny Bøgsted Poulsen
(Aalborg University)
Sean Sedwards
(INRIA Rennes)

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.

In Ezio Bartocci and Luca Bortolussi: Proceedings First International Workshop on Hybrid Systems and Biology (HSB 2012), Newcastle Upon Tyne, 3rd September 2012, Electronic Proceedings in Theoretical Computer Science 92, pp. 122–136.
Published: 15th August 2012.

ArXived at: http://dx.doi.org/10.4204/EPTCS.92.9 bibtex PDF
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