Python Control Systems Library

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

• Nonlinear input/output system modeling, simulation, and analysis

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

• Time response: initial, step, impulse, and forced response

• Frequency response: Bode, Nyquist, and Nichols plots

• Control analysis: stability, reachability, observability, stability margins, phase plane plots, root locus plots

• Control design: eigenvalue placement, LQR, H2, Hinf, and MPC/RHC

• Trajectory generation: optimal control and differential flatness

• Model reduction: balanced realizations and Hankel singular values

• Estimator design: linear quadratic estimator (Kalman filter), MLE, and MHE

Links:

• GitHub repository: https://github.com/python-control/python-control

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

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

How to cite

An article about the library is available on IEEE Explore. If the Python Control Systems Library helped you in your research, please cite:

@inproceedings{python-control2021,
  title={The Python Control Systems Library (python-control)},
  author={Fuller, Sawyer and Greiner, Ben and Moore, Jason and
          Murray, Richard and van Paassen, Ren{\'e} and Yorke, Rory},
  booktitle={60th IEEE Conference on Decision and Control (CDC)},
  pages={4875--4881},
  year={2021},
  organization={IEEE}
}

or the GitHub site: https://github.com/python-control/python-control.

User Guide

• 1. Introduction
• 2. Tutorial
• 3. Linear Systems
• 4. I/O Response and Plotting
• 5. Nonlinear Systems
• 6. Interconnected I/O Systems
• 7. Stochastic Systems
• 8. Examples
• Index

Reference Manual

• Function Reference
• Control System Classes
• Package Configuration Parameters
• MATLAB Compatibility Module
• Developer Notes
• Release Notes

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.

Please see the Developer’s Wiki for detailed instructions.