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
- 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
intro conventions control classes plotting matlab flatsys iosys descfcn optimal examples
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.gitYou can run the unit tests with pytest to make sure that everything is working correctly. Inside the source directory, run:
pytest -vor to test the installed package:
pytest --pyargs control -vYour contributions are welcome! Simply fork the GitHub repository and send a pull request.
Please see the Developer's Wiki for detailed instructions.
Links
- Issue tracker: https://github.com/python-control/python-control/issues
- Mailing list: http://sourceforge.net/p/python-control/mailman/