Safety Verification for Probabilistic Hybrid Systems

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2010

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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
StatePublished - 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
CitationsWeb of Science® Times Cited: No match on DOI
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