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11th EAI International Conference on Performance Evaluation Methodologies and Tools

Research Article

Analyzing Hybrid Petri nets with multiple stochastic firings using HyPro

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.5-12-2017.2274580,
        author={Jannik  H\'{y}ls and Stefan  Schupp and Anne  Remke and Erika  Abraham},
        title={Analyzing Hybrid Petri nets with multiple stochastic firings using HyPro},
        proceedings={11th EAI International Conference on Performance Evaluation Methodologies and Tools},
        publisher={ACM},
        proceedings_a={VALUETOOLS},
        year={2018},
        month={8},
        keywords={hybrid petri nets symbolic analysis convex polyhedra hypro},
        doi={10.4108/eai.5-12-2017.2274580}
    }
    
  • Jannik Hüls
    Stefan Schupp
    Anne Remke
    Erika Abraham
    Year: 2018
    Analyzing Hybrid Petri nets with multiple stochastic firings using HyPro
    VALUETOOLS
    ACM
    DOI: 10.4108/eai.5-12-2017.2274580
Jannik Hüls1,*, Stefan Schupp2, Anne Remke1, Erika Abraham2
  • 1: Westfälische Wilhelms-Universität Münster
  • 2: RWTH Aachen University
*Contact email: jannik.huels@uni-muenster.de

Abstract

Two approaches have been presented for the analysis of HPnGs, (i) a tree-based approach and (ii) a state-space representation based on computational geometry. We present a translation of the tree-based representation into a geometric representation using the C++ library HyPro, which has been developed for the analysis of hybrid automata. This allows the representation and efficient and accurate analysis of HPnGs with multiple stochastic firings.

Keywords
hybrid petri nets symbolic analysis convex polyhedra hypro
Published
2018-08-10
Publisher
ACM
http://dx.doi.org/10.4108/eai.5-12-2017.2274580
Copyright © 2017–2025 ACM
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