Verification and Control of Partially Observable Probabilistic Real-Time Systems
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-01048
- Type
- D - Journal article
- DOI
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10.1007/978-3-319-22975-1_16
- Title of journal
- Lecture Notes in Computer Science
- Article number
- -
- First page
- 240
- Volume
- 9268
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
http://eprints.gla.ac.uk/107730/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: paper presents the first approach for the modelling, verification and control of systems exhibiting partially observable, real-time, probabilistic and nondeterministic behaviour and the first implementation for automated verification and control of partially-observable probabilistic systems for both discrete and dense models of time. SIGNIFICANCE: modelling complex systems, e.g., security protocols and autonomous systems, requires incorporating quantitative aspects and the extent to which the system’s state is observable to the entity controlling it. RIGOUR: correctness of the approach rigorously established by mathematical proof. A prototype implementation extending the probabilistic model checker PRISM is developed and evaluated on several real-world case studies.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -