dynamicslab-databook_matlab.zip

# Data_Driven_Science_MATLAB_Demos <img src="http://www.databookuw.com/files/stacks-image-5bffc53-882x1200.png" alt="Data Driven Book Cover" width="200"/> 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 — rSVD (N. Ben Erichson): https://github.com/erichson/rSVD Chapter 3 — SSPOR (Krithika Manohar): https://github.com/kmanohar/SSPOR_pub Chapter 7 — PDE-FIND (Sam Rudy): https://github.com/snagcliffs/PDE-FIND — DeepKoopman (Bethany Lusch): https://github.com/BethanyL/DeepKoopman — KRONIC (Eurika Kaiser): https://github.com/eurika-kaiser/KRONIC Chapter 10 — SINDY-MPC (Eurika Kaiser): https://github.com/eurika-kaiser/SINDY-MPC — 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