Murray: Created page with "{{righttoc}} This page contains information for downloading and installing python-control. This package is designed for use in the [http://ipython.scipy.org/moin/ IPython] en..."

2012-09-03T04:42:42Z

Created page with "{{righttoc}} This page contains information for downloading and installing python-control. This package is designed for use in the [http://ipython.scipy.org/moin/ IPython] en..."

New page

{{righttoc}}
This page contains information for downloading and installing python-control. This package is designed for use in the [http://ipython.scipy.org/moin/ IPython] environment, with [http://scipy.org SciPy] extensions for scientific computing plus the [http://matplotlib.sourceforge.net/ matplotlib] extensions (which enables MATLAB-like plotting).

* [https://sourceforge.net/projects/python-control/files/ Source code] - download the latest version of the python control library here

== Prerequisites ==

=== Standard python libraries ===
In order to run control-python, you must first install some standard python packages:
# SciPy - Open source library of scientific tools: http://www.scipy.org
# Matplotlib - Plotting library for python: matplotlib.sourceforge.net
# ipython (optional) - interactive python shell: http://ipython.scipy.org

If you have everything installed correctly, you should be able to run the following code
from scipy import *
from pylab import * # Not needed if you use ipython -pylab
a = zeros(1000)
a[:100]=1
b = fft(a)
plot(abs(b))
show() # Not needed if you use ipython -pylab

=== SLICOT ===
Some of the underlying functions in python-control are carried out using the [http://www.slicot.org/ SLICOT] software library. The python-control library uses the [http://github.com/avventi/Slycot slycot] python wrapper developed by Enrico Avventi at KTH.
* Slycot is only required for functions that make use of SLICOT routines (eg, linear quadratic regulators, Kalman filtering, <math>H_\infty</math> control)
* The slycot library is currently under development and the API is not yet fixed. Some errors may occur if the version of slycot and python-control are incompatible

== Download ==

The python-control package can be downloaded from SourceForge:
* https://sourceforge.net/projects/python-control/files
The files are distributed as compressed tar files. To unpack and installed, run the following from the command line
tar xzf control-N.mx.tar.gz
cd control-N.mx
python setup.py install
where N-mx is the latest release (eg, 0.3c).

To see if things are working, you can run the script [http://www.cds.caltech.edu/~murray/software/python-control/examples/secord-matlab.py secord-matlab.py] (using either python or ipython -pylab). It should generate a step response, Bode plot and Nyquist plot for a simple second order linear system.

== Installation notes ==

=== slycot ===
* To compile for 64 bit architecture on OS X, edit setup.py to include the lines
extra_link_args=['-arch x86_64']
:and then run setup.py as
python setup.py config_fc --arch="-arch x86_64" build

Python-control/Download - Revision history

Murray: Created page with "{{righttoc}} This page contains information for downloading and installing python-control. This package is designed for use in the [http://ipython.scipy.org/moin/ IPython] en..."