Abstract
This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. We first show that performability analysis of stochastic hybrid systems can be reduced to a stochastic reachability analysis (SRA). Then, we generalize the notion of symmetry reduction as recently proposed for probabilistic model checking, to continuous probabilistic systems. We provide a rigorous mathematical foundation for the reduction technique in the continuous case and also investigate its observability perspective. For stochastic hybrid systems, characterizations for this reduction technique are provided, in terms of their infinitesimal generator.
Original language | Undefined |
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Title of host publication | 47th IEEE Conference on Decision and Control, CDC 2008 |
Place of Publication | Los Alamitos |
Publisher | IEEE |
Pages | 233-238 |
Number of pages | 6 |
ISBN (Print) | 978-1-4244-3123-6 |
DOIs | |
Publication status | Published - 6 Jan 2009 |
Event | 47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico Duration: 9 Dec 2008 → 11 Dec 2008 Conference number: 47 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
ISSN (Print) | 0191-2216 |
Conference
Conference | 47th IEEE Conference on Decision and Control, CDC 2008 |
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Abbreviated title | CDC |
Country/Territory | Mexico |
City | Cancun |
Period | 9/12/08 → 11/12/08 |
Keywords
- EWI-15275
- abstractions
- Reachability
- Symmetries
- transformation group
- METIS-263807
- IR-62797
- Markov models
- Markov Processes
- Probability
- probabilistic model checking