Statistical Model Checking for Stochastic Hybrid Systems

Autor: Danny Bøgsted Poulsen, Sean Sedwards, Axel Legay, Marius Mikučionis, Kim G. Larsen, Dehui Du, Alexandre David
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Electronic Proceedings in Theoretical Computer Science, Vol 92, Iss Proc. HSB 2012, Pp 122-136 (2012)
Druh dokumentu: article
ISSN: 2075-2180
DOI: 10.4204/EPTCS.92.9
Popis: 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.
Databáze: Directory of Open Access Journals