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Automatic Synthesis of Robust and Optimal Controllers – An Industrial Case Study

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Hybrid Systems: Computation and Control (HSCC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5469))

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Abstract

In this paper, we show how to apply recent tools for the automatic synthesis of robust and near-optimal controllers for a real industrial case study. We show how to use three different classes of models and their supporting existing tools, Uppaal-TiGA for synthesis, phaver for verification, and Simulink for simulation, in a complementary way. We believe that this case study shows that our tools have reached a level of maturity that allows us to tackle interesting and relevant industrial control problems.

Work supported by the projects: (i) Quasimodo: “Quantitative System Properties in Model-Driven-Design of Embedded”, http://www.quasimodo.aau.dk/, (ii) Gasics: “Games for Analysis and Synthesis of Interactive Computational Systems”, http://www.ulb.ac.be/di/gasics/, and (iii) Moves: “Fundamental Issues in Modelling, Verification and Evolution of Software”, http://moves.vub.ac.be.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Cassez, F., Jessen, J.J., Larsen, K.G., Raskin, JF., Reynier, PA. (2009). Automatic Synthesis of Robust and Optimal Controllers – An Industrial Case Study. In: Majumdar, R., Tabuada, P. (eds) Hybrid Systems: Computation and Control. HSCC 2009. Lecture Notes in Computer Science, vol 5469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00602-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-00602-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00601-2

  • Online ISBN: 978-3-642-00602-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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