python-control-code
Last checkout of the most recent branch of the Python Control Systems Library (python-control) from https://sourceforge.net/p/python-control
Python Control System Library RMM, 23 May 09
This directory contains the source code for the Python Control Systems Library (python-control). This package provides a library of standard control system algorithms in the python programming environment.
Installation instructions
Standard python package installation:
python setup.py install
To see if things are working, you can run the script examples/secord-matlab.py (using ipython -pylab). It should generate a step response, Bode plot and Nyquist plot for a simple second order linear system.
You can also run a set of unit tests to make sure that everything is working correctly. After installation, run
python tests/test_all.py
from the source distribution directory (note: doesn't yet work in python 3.x). Alternatively, if you have nosetests installed, you can simply run
nosetests
which gives a somewhat cleaner output (and works in python 3.x)
Slycot
Routines from the Slycot wrapper are used for providing the functionality of several routines for state-space, transfer functions and robust control. Many parts of python-control will still work without slycot, but some functionality is limited or absent, and installation of Slycot is definitely recommended. The Slycot wrapper can be found at:
https://github.com/repagh/Slycot
(was forked from https://github.com/avventi/Slycot, but development/merging appear to have stopped there for now)