Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks-Reference-Cited by-同舟云学术

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Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks

Published:2023 Issue: Volume: Page:164-182
ISSN:0302-9743
Container-title:Theoretical Aspects of Software Engineering
language:
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Author:

Delicaris Joanna^ORCID,Schupp Stefan^ORCID,Ábrahám Erika^ORCID,Remke Anne^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35257-7_10

Reference27 articles.

1. Abate, A., Prandini, M., Lygeros, J., Sastry, S.: Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems. Automatica 44(11), 2724–2734 (2008). https://doi.org/10.1016/j.automatica.2008.03.027

2. Alur, R., et al.: The algorithmic analysis of hybrid systems. Theor. Comput. Sci. 138(1), 3–34 (1995). https://doi.org/10.1016/0304-3975(94)00202-T

3. Ballarini, P., Bertrand, N., Horváth, A., Paolieri, M., Vicario, E.: Transient Analysis of Networks of Stochastic Timed Automata Using Stochastic State Classes. In: 10th Int. Conf. on Quantitative Evaluation of Systems. LNCS, vol. 8054, pp. 355–371. Springer (2013). https://doi.org/10.1007/978-3-642-40196-1_30

4. Betrand, N., et al.: Stochastic timed automata. Logical Methods Comput. Sci. 10(4), 1–73 (2014). https://doi.org/10.2168/LMCS-10(4:6)2014

5. Cauchi, N., Abate, A.: StocHy: Automated verification and synthesis of stochastic processes. In: Proc. of TACAS’19, pp. 247–264. Springer, Cham (2019). https://doi.org/10.1145/3302504.3313349

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1. RealySt: A C++ Tool for Optimizing Reachability Probabilities in Stochastic Hybrid Systems;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. The Best of Both Worlds: Analytically-Guided Simulation of HPnGs for Optimal Reachability;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Comparing Two Approaches to Include Stochasticity in Hybrid Automata;Quantitative Evaluation of Systems;2023

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