40 citations · 67 across the 5 of their papers we have counts for
7 papers
One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
Teng Ma, Luca Rosafalco, Wei Cui +2
Extrapolative prediction of complex nonlinear dynamics remains a central challenge in engineering. This study proposes a one-shot learning method to identify global frequency-respo…
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…
Mastering truss structure optimization with tree search
Gabriel Garayalde, Luca Rosafalco, Matteo Torzoni +1
This study investigates the combined use of generative grammar rules and Monte Carlo Tree Search (MCTS) for optimizing truss structures. Our approach accommodates intermediate cons…
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…
Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning
Luca Rosafalco, Jacopo Maria De Ponti, Luca Iorio +2
A reinforcement learning approach to design optimised graded metamaterials for mechanical energy confinement and amplification is described. Through the proximal policy optimisatio…
Online structural health monitoring by model order reduction and deep learning algorithms
Luca Rosafalco, Matteo Torzoni, Andrea Manzoni +2
Within a structural health monitoring (SHM) framework, we propose a simulation-based classification strategy to move towards online damage localization. The procedure combines para…
Fully convolutional networks for structural health monitoring through multivariate time series classification
Luca Rosafalco, Andrea Manzoni, Stefano Mariani +1
We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor s…