On-line learning of dynamic systems: sparse regression meets Kalman filtering
PositiveArtificial Intelligence
- The Sindy Kalman Filter (SKF) integrates the Sindy algorithm with the Kalman filter to improve real
- This development is significant as it enhances the understanding and modeling of physical systems across various scientific fields, including engineering and biology. The SKF's ability to simplify parameter estimation is crucial for real
- While no related articles were identified, the SKF represents a notable advancement in the field of dynamic systems learning. Its application in real
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