Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
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Updated
Mar 21, 2024 - Jupyter Notebook
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
My Master Thesis in the area of Data-Driven Control Engineering
Short intro to scientific machine learning using physics informed neuronal networks. I used PyTorch as a framework.
Code for discovering slow timescale dynamics using the SINDy method
MATLAB files for discovery of Poincaré maps
Code associated to the paper "Data-driven stabilization of periodic orbits"
Using data driven numerical methods to perform system identification, model reduction, and design controllers.
Code for my BSc thesis about SINDy - BAI, Bocconi
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