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Link to original content: https://doi.org/10.1007/978-3-031-19992-9_21
STOMPC: Stochastic Model-Predictive Control with Uppaal Stratego | SpringerLink
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STOMPC: Stochastic Model-Predictive Control with Uppaal Stratego

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Automated Technology for Verification and Analysis (ATVA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13505))

Abstract

We present the new co-simulation and synthesis integrated-framework STOMPC for stochastic model-predictive control (MPC) with Uppaal Stratego . The framework allows users to easily set up MPC designs, a widely accepted method for designing software controllers in industry, with Uppaal Stratego as the controller synthesis engine, which provides a powerful tool to synthesize safe and optimal strategies for hybrid stochastic systems. STOMPC provides the user freedom to connect it to external simulators, making the framework applicable across multiple domains.

This work is partly supported by the Villum Synergy project CLAIRE and the ERC Advanced Grant LASSO.

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Notes

  1. 1.

    https://github.com/DEIS-Tools/strategoutil.

  2. 2.

    https://strategoutil.readthedocs.io/en/latest/.

  3. 3.

    https://doi.org/10.5281/zenodo.6519909.

  4. 4.

    https://strategoutil.readthedocs.io.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Aalborg University, Aalborg, Denmark

    Martijn A. Goorden, Peter G. Jensen, Kim G. Larsen, Mihhail Samusev & Jiří Srba

  2. Department of the Built Environment, Aalborg University, Aalborg, Denmark

    Mihhail Samusev & Guohan Zhao

Authors
  1. Martijn A. Goorden
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  2. Peter G. Jensen
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  3. Kim G. Larsen
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  4. Mihhail Samusev
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  5. Jiří Srba
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  6. Guohan Zhao
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Corresponding author

Correspondence to Martijn A. Goorden .

Editor information

Editors and Affiliations

  1. Université Paris Diderot, Paris, France

    Ahmed Bouajjani

  2. Brno University of Technology, Brno, Czech Republic

    Lukáš Holík

  3. Chinese Academy of Sciences, Beijing, China

    Zhilin Wu

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Goorden, M.A., Jensen, P.G., Larsen, K.G., Samusev, M., Srba, J., Zhao, G. (2022). STOMPC: Stochastic Model-Predictive Control with Uppaal Stratego. In: Bouajjani, A., Holík, L., Wu, Z. (eds) Automated Technology for Verification and Analysis. ATVA 2022. Lecture Notes in Computer Science, vol 13505. Springer, Cham. https://doi.org/10.1007/978-3-031-19992-9_21

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  • DOI: https://doi.org/10.1007/978-3-031-19992-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19991-2

  • Online ISBN: 978-3-031-19992-9

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