Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks

Delicaris, Joanna; Schupp, Stefan; Ábrahám, Erika; Remke, Anne

Research article in edited proceedings (conference) | Peer reviewed

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.

Details about the publication

PublisherDavid, Cristina; Sun, Meng
Book titleTheoretical Aspects of Software Engineering
Page range164-182
Publishing companySpringer
Place of publicationCham
Title of seriesLecture Notes in Computer Science
StatusPublished
Release year2023 (04/07/2023)
Language in which the publication is writtenEnglish
ConferenceTheoretical Aspects of Software Engineering: 17th International Symposium (TASE 2023), Bristol, United Kingdom
ISBN978-3-031-35257-7
DOI10.1007/978-3-031-35257-7_10
Link to the full texthttps://doi.org/10.1007/978-3-031-35257-7_10
Keywordsreachability probabilities; optimizing continuous nondeterminism; stochastic hybrid systems

Authors from the University of Münster

Delicaris, Joanna Georgia
Professorship for practical computer science (Prof. Remke)
Remke, Anne
Professorship for practical computer science (Prof. Remke)