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Synthesis of Parametric Hybrid Automata from Time Series

2022-07-13Code Available0· sign in to hype

Miriam García Soto, Thomas A. Henzinger, Christian Schilling

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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. Each model in the family is guaranteed to capture the input data up to a precision error , in the following sense: For each time series, the model contains an execution that is -close to the data points. Our construction allows to effectively choose a model from this family with minimal precision error . We demonstrate the algorithm's efficiency and its ability to find precise models in two case studies.

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