Suppressing unknown disturbances to dynamical systems using machine learning
Abstract Identifying and suppressing unknown disturbances to dynamical systems is a problem with applications in many different fields. Here we present a model-free method to identify and suppress an unknown disturbance to an unknown system based only on previous observations of the system under the...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-024-01885-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|