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.
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2019
|
| Subjects: | |
| Online Access: | https://doaj.org/article/c7daebc20a2d4e6b8ab01d1077cfe84d |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|