Installation

The `python-control` package may be installed using pipor the standard

distutils/setuptools mechanisms.

The `python-control` package may be installed using pip, condaor the

standarddistutils/setuptools mechanisms.

To install using pip::

Many parts of `python-control` will work without `slycot`, but some

functionality is limited or absent, and installation of `slycot` is

recommended.

*Note*: the `slycot` library only works on some platforms, mostly

linux-based. Users should check to insure that slycot is installed

correctly by running the command::

and verifying that no error message appears. It may be necessary to install

`slycot` from source, which requires a working FORTRAN compiler and the

`lapack` library. More information on the slycot package can be obtained

from the `slycot project page<https://github.com/python-control/Slycot>`_.

For users with a working the Anaconda distribution of Python, the following

command can be used::

This installs `slycot` and `python-control` from the `python-control`

channel and uses the `cyclus` channel to obtain the required `lapack`

package.

Alternatively, to use setuptools, first `download the source<https://github.com/python-control/python-control/releases>`_ and unpack

it. To install in your home directory, use::

The package requires `numpy` and `scipy`, and the plotting routines require

`matplotlib`. In addition, some routines use a module called `slycot`, which is

a Python wrapper around some FORTRAN routines. Many parts of `python-control`

will work without `slycot`, but some functionality is limited or absent, and

installation of `slycot` is recommended. For more information, see the GitHub

repository for `slycot<https://github.com/python-control/Slycot>`_.

`matplotlib`. In addition, some routines require the `slycot` module,

described above.

Getting Started