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https://github.com/dynamicslab/databook_matlab
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
https://github.com/dynamicslab/databook_matlab
Last synced: 4 months ago
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Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
- Host: GitHub
- URL: https://github.com/dynamicslab/databook_matlab
- Owner: dynamicslab
- Created: 2020-03-02T23:39:56.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-03-30T19:43:01.000Z (over 3 years ago)
- Last Synced: 2024-01-16T05:08:32.537Z (6 months ago)
- Language: MATLAB
- Homepage:
- Size: 3.62 MB
- Stars: 205
- Watchers: 9
- Forks: 83
- Open Issues: 3
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Metadata Files:
- Readme: README.md
Lists
- awesome-scientific-computing - Code solution of Steven L. Brunton and J. Nathan Kutz's book - Matlab codes of the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz. ![Freeware][Freeware Icon] (Machine Learnig / Learning)
README
# 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
— 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.phpOther 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