Stochastic Satisfiability Modulo Theory: A Novel Technique for the Analysis of Probabilistic Hybrid Systems

  • Authors:
  • Martin Fränzle;Holger Hermanns;Tino Teige

  • Affiliations:
  • Carl von Ossietzky Universität, Oldenburg, Germany;Saarland University, Saarbrücken, Germany;Carl von Ossietzky Universität, Oldenburg, Germany

  • Venue:
  • HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
  • Year:
  • 2008

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Abstract

The analysis of hybrid systems exhibiting probabilistic behaviour is notoriously difficult. To enable mechanised analysis of such systems, we extend the reasoning power of arithmetic satisfiability-modulo-theory solving (SMT) by a comprehensive treatment of randomized (a.k.a. stochastic) quantification over discrete variables within the mixed Boolean-arithmetic constraint system. This provides the technological basis for a fully symbolic analysis of probabilistic hybrid automata. Generalizing SMT-based bounded model-checking of hybrid automata [2,11], stochastic SMT permits the direct and fully symbolic analysis of probabilistic bounded reachability problems of probabilistic hybrid automata without resorting to approximation by intermediate finite-state abstractions.