Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version)

@inproceedings{Aichernig2019LearningAB,
  title={Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version)},
  author={Bernhard K. Aichernig and Roderick Bloem and Masoud Ebrahimi and Martin Horn and Franz Pernkopf and Wolfgang Roth and Astrid Rupp and Martin Tappler and Markus Tranninger},
  booktitle={ICTSS},
  year={2019}
}
  • Bernhard K. Aichernig, Roderick Bloem, +6 authors Markus Tranninger
  • Published in ICTSS 2019
  • Computer Science, Mathematics
  • Models play an essential role in the design process of cyber-physical systems. They form the basis for simulation and analysis and help in identifying design problems as early as possible. However, the construction of models that comprise physical and digital behavior is challenging. Therefore, there is considerable interest in learning such hybrid behavior by means of machine learning which requires sufficient and representative training data covering the behavior of the physical system… CONTINUE READING

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