The Python Control Systems Library (python-control) is a Python package 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, LQR, H2, Hinf
• Model reduction: balanced realizations, Hankel singular values
• Estimator design: linear quadratic estimator (Kalman filter)

Documentation

.. toctree::
   :maxdepth: 2

   intro
   conventions
   control
   classes
   matlab
   flatsys
   iosys
   examples

• :ref:`genindex`

Development

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 the unit tests with pytest to make sure that everything is working correctly. Inside the source directory, run:

pytest -v

or to test the installed package:

pytest --pyargs control -v

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

Links

• Issue tracker: https://github.com/python-control/python-control/issues
• Mailing list: http://sourceforge.net/p/python-control/mailman/