Data driven discovery of cyber physical systems
Discovery of hybrid dynamical models for real-world cyber-physical systems remains a challenge. This paper proposes a general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience.
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Main Authors: | Ye Yuan, Xiuchuan Tang, Wei Zhou, Wei Pan, Xiuting Li, Hai-Tao Zhang, Han Ding, Jorge Goncalves |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
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Subjects: | |
Online Access: | https://doaj.org/article/c7daebc20a2d4e6b8ab01d1077cfe84d |
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