Recent changes to Download

Download modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:37:18 -0000

--- v8
+++ v9
@@ -45,7 +45,7 @@

 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.
+To see if things are working, you can run the script [secord-matlab.py](http://www.cds.caltech.edu/~murray/software/python-control/examples/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
 ===========

Download modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:36:33 -0000

--- v7
+++ v8
@@ -26,7 +26,7 @@

 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 [slycot](https://github.com/repagh/Slycot) python wrapper developed by Enrico Avventi at KTH and currently maintained by Rene van Paassen.
+Some of the underlying functions in python-control are carried out using the [SLICOT](http://www.slicot.org/) software library.  The python-control library uses the [slycot](https://github.com/repagh/Slycot) python wrapper developed by Enrico Avventi at KTH and currently maintained by Rene van Paassen.
 * Slycot is only required for functions that make use of SLICOT routines (eg, linear quadratic regulators, Kalman filtering,  $H_\infty$  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 modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:35:52 -0000

--- v6
+++ v7
@@ -26,7 +26,7 @@

 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.
+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 [slycot](https://github.com/repagh/Slycot) python wrapper developed by Enrico Avventi at KTH and currently maintained by Rene van Paassen.
 * Slycot is only required for functions that make use of SLICOT routines (eg, linear quadratic regulators, Kalman filtering,  $H_\infty$  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 modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:34:24 -0000

--- v5
+++ v6
@@ -1,7 +1,6 @@
 This page contains information for downloading and installing python-control.  This package is designed for use in the [IPython](http://ipython.scipy.org/moin/) environment, with [SciPy](http://scipy.org) extensions for scientific computing plus the [matplotlib](http://matplotlib.sourceforge.net/) extensions (which enables MATLAB-like plotting).

-[[download_button]]
-
+[[download_button]]


 Prerequisites
 =============

Download modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:33:18 -0000

--- v4
+++ v5
@@ -1,6 +1,7 @@
 This page contains information for downloading and installing python-control.  This package is designed for use in the [IPython](http://ipython.scipy.org/moin/) environment, with [SciPy](http://scipy.org) extensions for scientific computing plus the [matplotlib](http://matplotlib.sourceforge.net/) extensions (which enables MATLAB-like plotting).

 [[download_button]]
+

 Prerequisites
 =============

Download modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:32:59 -0000

--- v3
+++ v4
@@ -1,6 +1,6 @@
 This page contains information for downloading and installing python-control.  This package is designed for use in the [IPython](http://ipython.scipy.org/moin/) environment, with [SciPy](http://scipy.org) extensions for scientific computing plus the [matplotlib](http://matplotlib.sourceforge.net/) extensions (which enables MATLAB-like plotting).

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

 Prerequisites
 =============

Download modified by Richard Murray

Richard Murray — Sat, 09 Aug 2014 20:31:24 -0000

--- v2
+++ v3
@@ -1,4 +1,4 @@
-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).
+This page contains information for downloading and installing python-control.  This package is designed for use in the [IPython](http://ipython.scipy.org/moin/) environment, with [SciPy](http://scipy.org) extensions for scientific computing plus the [matplotlib](http://matplotlib.sourceforge.net/) extensions (which enables MATLAB-like plotting).

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

WikiPage Download modified by Richard Murray

Richard Murray — Tue, 04 Sep 2012 05:29:20 -0000

WikiPage Download modified by Richard Murray

Richard Murray — Tue, 04 Sep 2012 05:26:58 -0000

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). * [Source code](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: 1. 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 :::python 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,

H_\infty

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 :::sh 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 :::python extra_link_args=['-arch x86_64'] and then run setup.py as :::sh python setup.py config_fc --arch="-arch x86_64" build