2 papers
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…
cs.CE2024
Enhancing Bayesian model updating in structural health monitoring via learnable mappings
Matteo Torzoni, Andrea Manzoni, Stefano Mariani
In the context of structural health monitoring (SHM), the selection and extraction of damage-sensitive features from raw sensor recordings represent a critical step towards solving…