Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

Short intro to scientific machine learning using physics informed neuronal networks. I used PyTorch as a framework.

My Master Thesis in the area of Data-Driven Control Engineering

MATLAB files for discovery of Poincaré maps

Code for discovering slow timescale dynamics using the SINDy method

Using data driven numerical methods to perform system identification, model reduction, and design controllers.

Code associated to the paper "Data-driven stabilization of periodic orbits"

Code for my BSc thesis about SINDy at Bocconi University