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20202026
most citedEKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics

40 citations · 67 across the 5 of their papers we have counts for

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math.DS2024

Online learning in bifurcating dynamic systems via SINDy and Kalman filtering

Luca Rosafalco, Paolo Conti, Andrea Manzoni +2

We propose the use of the Extended Kalman Filter (EKF) for online data assimilation and update of a dynamic model, preliminary identified through the Sparse Identification of Nonli…

math.DS2024★ 40 cited

EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics

Luca Rosafalco, Paolo Conti, Andrea Manzoni +2

Measured data from a dynamical system can be assimilated into a predictive model by means of Kalman filters. Nonlinear extensions of the Kalman filter, such as the Extended Kalman…