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

• 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)

• 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/

The package requires numpy, scipy, and matplotlib. In addition, some routinesuse a module called slycot, that is a Python wrapper around some FORTRANroutines. Many parts of python-control will work without slycot, but somefunctionality is limited or absent, and installation of slycot is recommended(see below). Note that in order to install slycot, you will need a FORTRANcompiler on your machine. The Slycot wrapper can be found at:

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

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

To install using pip:

pip install slycot   # optionalpip install control

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

conda install -c conda-forge control

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 buildsudo python setup.py install

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

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

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

python setup.py test

This is free software released under the terms ofthe BSD 3-ClauseLicense. There is nowarranty; not even for merchantability or fitness for a particularpurpose. Consult LICENSE for copying conditions.

When code is modified or re-distributed, the LICENSE file shouldaccompany the code or any subset of it, however small. As analternative, the LICENSE text can be copied within files, if sodesired.

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