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Python control systems library

Project description

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.


  • 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)


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:


The package may be installed using pip or distutils.


To install using pip:

pip install slycot   # optional
pip install control


To install in your home directory, use:

python install --user

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

python build
sudo python install



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

git clone


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

python test


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

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