Safety Verification for Probabilistic Hybrid Systems

Lijun Zhang, Zhikun She, Stefan Ratschan, Holger Hermanns, Ernst Moritz Hahn

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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.
    Original languageEnglish
    Title of host publicationComputer Aided Verification, Proceedings
    Publication date2010
    Pages196-211
    ISBN (Print)978-3-642-14294-9
    ISBN (Electronic)978-3-642-14295-6
    DOIs
    Publication statusPublished - 2010
    Event22nd International Conference on Computer Aided Verification - Edinburgh, United Kingdom
    Duration: 15 Jul 201019 Jul 2010
    Conference number: 22
    http://www.floc-conference.org/CAV-home.html

    Conference

    Conference22nd International Conference on Computer Aided Verification
    Number22
    CountryUnited Kingdom
    CityEdinburgh
    Period15/07/201019/07/2010
    Internet address
    SeriesLecture Notes in Computer Science
    Volume6174
    ISSN0302-9743

    Fingerprint Dive into the research topics of 'Safety Verification for Probabilistic Hybrid Systems'. Together they form a unique fingerprint.

    Cite this