Recursive regulator: a deep-learning and real-time model adaptation strategy for nonlinear systems
Abstract Adaptive modeling is imperative for analyzing nonlinear systems deployed in natural dynamic environments. It facilitates filtering, prediction, and automatic control of the target object in real time to respond to unpredictable and non-repetitive sudden physical impairment caused by ambient...
| Published in: | Communications Engineering |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Online Access: | https://doi.org/10.1038/s44172-025-00477-4 |