Continuous-time models for system design and analysis
Alur R, Giacobbe M, Henzinger TA, Larsen KG, Mikučionis M. 2019.Continuous-time models for system design and analysis. In: Computing and Software Science. Lecture Notes in Computer Science, vol. 10000, 452–477.
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Author
Book Editor
Steffen, Bernhard;
Woeginger, Gerhard
Department
Series Title
Lecture Notes in Computer Science
Abstract
We illustrate the ingredients of the state-of-the-art of model-based approach for the formal design and verification of cyber-physical systems. To capture the interaction between a discrete controller and its continuously evolving environment, we use the formal models of timed and hybrid automata. We explain the steps of modeling and verification in the tools Uppaal and SpaceEx using a case study based on a dual-chamber implantable pacemaker monitoring a human heart. We show how to design a model as a composition of components, how to construct models at varying levels of detail, how to establish that one model is an abstraction of another, how to specify correctness requirements using temporal logic, and how to verify that a model satisfies a logical requirement.
Publishing Year
Date Published
2019-10-05
Book Title
Computing and Software Science
Publisher
Springer Nature
Acknowledgement
This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23(RiSE/SHiNE) and Z211-N23 (Wittgenstein Award). This research has received funding from the Sino-Danish Basic Research Centre, IDEA4CPS, funded by the Danish National Research Foundation and the National Science Foundation, China, the Innovation Fund Denmark centre DiCyPS, as well as the ERC Advanced Grant LASSO.
Volume
10000
Page
452-477
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IST-REx-ID
Cite this
Alur R, Giacobbe M, Henzinger TA, Larsen KG, Mikučionis M. Continuous-time models for system design and analysis. In: Steffen B, Woeginger G, eds. Computing and Software Science. Vol 10000. LNCS. Springer Nature; 2019:452-477. doi:10.1007/978-3-319-91908-9_22
Alur, R., Giacobbe, M., Henzinger, T. A., Larsen, K. G., & Mikučionis, M. (2019). Continuous-time models for system design and analysis. In B. Steffen & G. Woeginger (Eds.), Computing and Software Science (Vol. 10000, pp. 452–477). Springer Nature. https://doi.org/10.1007/978-3-319-91908-9_22
Alur, Rajeev, Mirco Giacobbe, Thomas A Henzinger, Kim G. Larsen, and Marius Mikučionis. “Continuous-Time Models for System Design and Analysis.” In Computing and Software Science, edited by Bernhard Steffen and Gerhard Woeginger, 10000:452–77. LNCS. Springer Nature, 2019. https://doi.org/10.1007/978-3-319-91908-9_22.
R. Alur, M. Giacobbe, T. A. Henzinger, K. G. Larsen, and M. Mikučionis, “Continuous-time models for system design and analysis,” in Computing and Software Science, vol. 10000, B. Steffen and G. Woeginger, Eds. Springer Nature, 2019, pp. 452–477.
Alur R, Giacobbe M, Henzinger TA, Larsen KG, Mikučionis M. 2019.Continuous-time models for system design and analysis. In: Computing and Software Science. Lecture Notes in Computer Science, vol. 10000, 452–477.
Alur, Rajeev, et al. “Continuous-Time Models for System Design and Analysis.” Computing and Software Science, edited by Bernhard Steffen and Gerhard Woeginger, vol. 10000, Springer Nature, 2019, pp. 452–77, doi:10.1007/978-3-319-91908-9_22.
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