Statistical Model Checking for Stochastic Hybrid Systems

Author: Alexandre David, Alexandre David, Alexandre David, Alexandre David, Alexandre David, Alexandre David, Alexandre David, Amir Pnueli, Ananda Basu, Ananda Basu, Ananda Basu, Ansgar Fehnker, Axel Legay, Axel Legay, Cyrille Jegourel, Cyrille Jegourel, Daniel T. Gillespie, Danny B√∏gsted Poulsen, Dehui Du, Edmund Clarke, Ezio Bartocci, Gerd Behrmann, Haijun Gong, H√•kan L. S. Younes, Joost-Pieter Katoen, José M. G. Vilar, Jo√£o Martins, Kim G. Larsen, Kim Guldstrand Larsen, Koushik Sen, Luca Bortolussi, Marius Mikuƒçionis, Naama Barkai, Paolo Ballarini, Paolo Zuliani, Paolo Zuliani, Peter E. Bulychev, Peter E. Bulychev, Rajeev Alur, Rodolfo Gómez, Ron Koymans, S. Laplante, Sean Sedwards, Sumit Kumar Jha
Publisher: Open Publishing Association

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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.Comment: In Proceedings HSB 2012, arXiv:1208.315

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