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Configuring Systems Based on Petri Nets, Logic-Probabilistic, and Simulation Models

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Cyber-Physical Systems: Modelling and Intelligent Control

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 338))

Abstract

The presented conceptual solution enables the design of a complex system configuration and risk analysis using the example of a cargo port. A formal description of Petri net configuration graphs is presented. The sequential construction of risk scenarios, L-models, and B-models for each strategic goal is shown. The solution is based on the formal technique of goals definition, logical management of the sequence of operations, selection and issuance of management decisions, formalization of risk scenarios, and their interpretation based on the results of simulation modeling. The simulation model will make it possible to obtain a reasonable quantitative assessment of the risk of failure to achieve a strategic goal for making management decisions.

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Acknowledgements

The chapter was prepared using the results of the project with the support of the RFBR grant No. 20-010-00465.

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Authors and Affiliations

  1. Astrakhan State Technical University, 16 Tatishcheva St, Astrakhan, 414056, Russia

    Irina Bondareva & Anna Khanova

  2. Saint-Petersburg Electrotechnical University “LETI”, 5 Professora Popova St, 197376, St. Petersburg, Russia

    Yulya Khanova

Authors
  1. Irina Bondareva
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  2. Anna Khanova
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  3. Yulya Khanova
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Corresponding author

Correspondence to Irina Bondareva .

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Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

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Bondareva, I., Khanova, A., Khanova, Y. (2021). Configuring Systems Based on Petri Nets, Logic-Probabilistic, and Simulation Models. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Cyber-Physical Systems: Modelling and Intelligent Control. Studies in Systems, Decision and Control, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-030-66077-2_21

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  • DOI: https://doi.org/10.1007/978-3-030-66077-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66076-5

  • Online ISBN: 978-3-030-66077-2

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