Python Control Systems Library — Python Control Systems Library 0.10.2 documentation

The Python Control Systems Library (python-control) is a Python package that implements basic operations for analysis and design of feedback control systems.
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
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/
An article about the library is available on IEEE Explore. If the Python Control Systems Library helped you in your research, please cite:
or the GitHub site: https://github.com/python-control/python-control.
You can check out the latest version of the source code with the command:
You can run the unit tests with pytest to make sure that everything is working correctly. Inside the source directory, run:
or to test the installed package:
Your contributions are welcome! Simply fork the GitHub repository and send a pull request.
Please see the Developer’s Wiki for detailed instructions.
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