control 0.8.2

Python control systems library

Python Control Systems Library

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Features

• Linear input/output systems in state-space and frequency domain

• Block diagram algebra: serial, parallel, and feedback interconnections

• Time response: initial, step, impulse

• Frequency response: Bode and Nyquist plots

• Control analysis: stability, reachability, observability, stability margins

• Control design: eigenvalue placement, linear quadratic regulator

• Estimator design: linear quadratic estimator (Kalman filter)

Links

• Project home page: http://python-control.org

• Source code repository: https://github.com/python-control/python-control

• Documentation: http://python-control.readthedocs.org/

• Issue tracker: https://github.com/python-control/python-control/issues

• Mailing list: http://sourceforge.net/p/python-control/mailman/

Dependencies

The package requires numpy, scipy, and matplotlib. In addition, some routines use a module called slycot, that 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 (see below). Note that in order to install slycot, you will need a FORTRAN compiler on your machine. The Slycot wrapper can be found at:

https://github.com/python-control/Slycot

Installation

The package may be installed using pip, conda, or distutils.

Pip

To install using pip:

pip install slycot   # optional
pip install control

conda-forge

Binaries are available from conda-forge for selected platforms (Linux and MacOS). Install using

conda install -c conda-forge control

Distutils

To install in your home directory, use:

python setup.py install --user

To install for all users (on Linux or Mac OS):

python setup.py build
sudo python setup.py install

Development

Code

You can check out the latest version of the source code with the command:

git clone https://github.com/python-control/python-control.git

Testing

You can run a set of unit tests to make sure that everything is working correctly. After installation, run:

python setup.py test

License

This is free software released under the terms of the BSD 3-Clause License. There is no warranty; not even for merchantability or fitness for a particular purpose. Consult LICENSE for copying conditions.

When code is modified or re-distributed, the LICENSE file should accompany the code or any subset of it, however small. As an alternative, the LICENSE text can be copied within files, if so desired.

Contributing

Your contributions are welcome! Simply fork the GitHub repository and send a pull request.