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Python control library

Project description

A library for commonly used controls algorithms (e.g. creating LQR controllers). An alternative to Richard Murray’s “control” package – however, here we do not require Slycot.

The goals of this are:

  1. Allow me to easily design control systems in Python

  2. Learn some more about Python

  3. Maybe provide something useful to other people.

How to install

  1. Clone this repository somewhere convenient: git clone https://github.com/markwmuller/controlpy.git

  2. Install the package (we’ll do a “develop” install, so any changes are immediately available): python setup.py develop (you’ll probably need to be administrator)

  3. You’re ready to go: try running the examples in the example folder.

(c) Mark W. Mueller 2014

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