Safety verification for probabilistic hybrid systems

  • Authors:
  • Lijun Zhang;Zhikun She;Stefan Ratschan;Holger Hermanns;Ernst Moritz Hahn

  • Affiliations:
  • DTU Informatics, Technical University of Denmark, Denmark;LMIB and School of Mathematics and Systems Science, Beihang University, China;Institute of Computer Science, Czech Academy of Sciences, Czech Republic;Department of Computer Science, Saarland University, Germany;Department of Computer Science, Saarland University, Germany

  • Venue:
  • CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
  • Year:
  • 2010

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Abstract

The interplay of random phenomena and continuous real-time control deserves increased attention for instance in wireless sensing and control applications Safety verification for such systems thus needs to consider probabilistic variations of systems with hybrid dynamics In safety verification of classical hybrid systems we are interested in whether a certain set of unsafe system states can be reached from a set of initial states In the probabilistic setting, we may ask instead whether the probability of reaching unsafe states is below some given threshold In this paper, we consider probabilistic hybrid systems and develop a general abstraction technique for verifying probabilistic safety problems This gives rise to the first mechanisable technique that can, in practice, formally verify safety properties of non-trivial continuous-time stochastic hybrid systems—without resorting to point-wise discretisation Moreover, being based on arbitrary abstractions computed by tools for the analysis of non-probabilistic hybrid systems, improvements in effectivity of such tools directly carry over to improvements in effectivity of the technique we describe We demonstrate the applicability of our approach on a number of case studies, tackled using a prototypical implementation.