Synthetic data generation for system identification: leveraging knowledge transfer from similar systems

1 code implementation • 8 Mar 2024 • Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione

This paper addresses the challenge of overfitting in the learning of dynamical systems by introducing a novel approach for the generation of synthetic data, aimed at enhancing model generalization and robustness in scenarios characterized by data scarcity.

Synthetic Data Generation Transfer Learning