Synthesis of parametric hybrid automata from time series
Garcia Soto M, Henzinger TA, Schilling C. 2022. Synthesis of parametric hybrid automata from time series. 20th International Symposium on Automated Technology for Verification and Analysis. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 13505, 337–353.
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Abstract
We propose an algorithmic approach for synthesizing linear hybrid automata from time-series data. Unlike existing approaches, our approach provides a whole family of models with the same discrete structure but different dynamics. Each model in the family is guaranteed to capture the input data up to a precision error ε, in the following sense: For each time series, the model contains an execution that is ε-close to the data points. Our construction allows to effectively choose a model from this family with minimal precision error ε. We demonstrate the algorithm’s efficiency and its ability to find precise models in two case studies.
Publishing Year
Date Published
2022-10-21
Proceedings Title
20th International Symposium on Automated Technology for Verification and Analysis
Publisher
Springer Nature
Acknowledgement
This work was supported in part by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 847635, by the ERC-2020-AdG 101020093, by DIREC - Digital Research Centre Denmark, and by the Villum Investigator Grant S4OS.
Volume
13505
Page
337-353
Conference
ATVA: Automated Technology for Verification and Analysis
Conference Location
Virtual
Conference Date
2022-10-25 – 2022-10-28
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ISSN
eISSN
IST-REx-ID
Cite this
Garcia Soto M, Henzinger TA, Schilling C. Synthesis of parametric hybrid automata from time series. In: 20th International Symposium on Automated Technology for Verification and Analysis. Vol 13505. Springer Nature; 2022:337-353. doi:10.1007/978-3-031-19992-9_22
Garcia Soto, M., Henzinger, T. A., & Schilling, C. (2022). Synthesis of parametric hybrid automata from time series. In 20th International Symposium on Automated Technology for Verification and Analysis (Vol. 13505, pp. 337–353). Virtual: Springer Nature. https://doi.org/10.1007/978-3-031-19992-9_22
Garcia Soto, Miriam, Thomas A Henzinger, and Christian Schilling. “Synthesis of Parametric Hybrid Automata from Time Series.” In 20th International Symposium on Automated Technology for Verification and Analysis, 13505:337–53. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19992-9_22.
M. Garcia Soto, T. A. Henzinger, and C. Schilling, “Synthesis of parametric hybrid automata from time series,” in 20th International Symposium on Automated Technology for Verification and Analysis, Virtual, 2022, vol. 13505, pp. 337–353.
Garcia Soto M, Henzinger TA, Schilling C. 2022. Synthesis of parametric hybrid automata from time series. 20th International Symposium on Automated Technology for Verification and Analysis. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 13505, 337–353.
Garcia Soto, Miriam, et al. “Synthesis of Parametric Hybrid Automata from Time Series.” 20th International Symposium on Automated Technology for Verification and Analysis, vol. 13505, Springer Nature, 2022, pp. 337–53, doi:10.1007/978-3-031-19992-9_22.
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