Abstract
We study the following problem: given a continuous-time Markov chain (CTMC) C, and a linear real-time property
provided as a deterministic timed automaton (DTA) A,
what is the probability of the set of paths of C that are
accepted by A (C satisfies A)? It is shown that this set of paths is measurable and computing its probability can be reduced to computing the reachability probability in a
piecewise deterministic Markov process (PDP). The reachability probability is characterized as the least solution of a system of integral equations and is shown to be approximated by solving a system of partial differential equations. For the special case of single-clock DTA, the system of integral equations can be transformed into a system of linear equations where the coefficients are solutions of ordinary differential equations.
Original language | Undefined |
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Title of host publication | 2009 24th Annual IEEE Symposium on Logic In Computer Science |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 309-318 |
Number of pages | 10 |
ISBN (Print) | 978-0-7695-3746-7 |
DOIs | |
Publication status | Published - Aug 2009 |
Event | 24th Annual IEEE Symposium on Logic In Computer Science, LICS 2009 - UCLA, Los Angeles, United States Duration: 11 Aug 2009 → 14 Aug 2009 Conference number: 24 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
ISSN (Print) | 1043-6871 |
Conference
Conference | 24th Annual IEEE Symposium on Logic In Computer Science, LICS 2009 |
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Abbreviated title | LICS |
Country/Territory | United States |
City | Los Angeles |
Period | 11/08/09 → 14/08/09 |
Keywords
- METIS-264047
- IR-68256
- EWI-16106
- FMT-PM: PROBABILISTIC METHODS
- FMT-MC: MODEL CHECKING