On-line learning of dynamic systems: sparse regression meets Kalman filtering

Gianluigi Pillonetto, Akram Yazdani, Aleksandr Aravkin

Learning governing equations from data is central to understanding the behavior of physical systems across diverse scientific disciplines, including physics, biology, and engineeri…