Data_Driven_Science_MATLAB_Demos
MATLAB demo code intended as a companion to the book:
Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control
by S. L. Brunton and J. N. Kutz
Cambridge Textbook, 2019
Copyright 2019, All Rights Reserved
http://databookuw.com/
Please cite this book when using this code/data.
MATLAB code library by S. L. Brunton and J. N. Kutz.
This code makes use of data files not packaged in the repository. These may be downloaded here: http://databookuw.com/DATA.zip (unzip into same directory)
Python versions of these demos are available at https://github.com/dynamicslab/databook_python
Links to useful Github codes:
Chapter 1
โ rSVD (N. Ben Erichson): https://github.com/erichson/rSVD
Chapter 3
โ SSPOR (Krithika Manohar): https://github.com/kmanohar/SSPOR_pub
Chapter 7
โ PDE-FIND (Sam Rudy): https://github.com/snagcliffs/PDE-FIND
โ DeepKoopman (Bethany Lusch): https://github.com/BethanyL/DeepKoopman
โ KRONIC (Eurika Kaiser): https://github.com/eurika-kaiser/KRONIC
Chapter 10
โ SINDY-MPC (Eurika Kaiser): https://github.com/eurika-kaiser/SINDY-MPC
โ MLC (Thomas Duriez, Bernd Noack): http://berndnoack.com/MachineLearningControl.php
Other codes that we found useful, but have not included in our repository because of copyright:
cvx: http://cvxr.com/cvx/download/
mp3readwrite: https://labrosa.ee.columbia.edu/matlab/mp3read.html