Record link: 
http://hdl.handle.net/20.500.12708/218705
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Title: 
Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks
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Citation: 
Delicaris, J., Schupp, S., Ábrahám, E., & Remke, A. (2023). Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks. In Theoretical Aspects of Software Engineering : 17th International Symposium, TASE 2023, Bristol, UK, July 4–6, 2023, Proceedings (pp. 164–182). Springer. https://doi.org/10.1007/978-3-031-35257-7_10
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Publisher DOI: 
10.1007/978-3-031-35257-7_10
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Delicaris, Joanna 
Schupp, Stefan 
Ábrahám, Erika 
Remke, Anne 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
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Published in: 
Theoretical Aspects of Software Engineering : 17th International Symposium, TASE 2023, Bristol, UK, July 4–6, 2023, Proceedings 
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ISBN: 
978-3-031-35257-7
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Volume: 
13931
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Date (published): 
2023
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Event name: 
17th Theoretical Aspects of Software Engineering Conference (TASE 2023) 
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Event date: 
4-Jul-2023 - 6-Jul-2024
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Event place: 
Bristol, United Kingdom of Great Britain and Northern Ireland (the)
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Number of Pages: 
19
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Publisher: 
Springer, Cham
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Peer reviewed: 
Yes
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Keywords: 
Stochastic hybrid models; Maximum reachability probabilities; Nondeterminism; Prophetic scheduling
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Abstract: 
This paper proposes an algorithm to maximize reachability probabilities for rectangular automata with random clocks via a history-dependent prophetic scheduler. This model class incorporates time-induced nondeterminism on discrete behavior and nondeterminism in the dynamic behavior. After computing reachable state sets via a forward flowpipe construction, we use backward refinement to compute maximum reachability probabilities. The feasibility of the presented approach is illustrated on a scalable model.
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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