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.
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Try out the examples in the examples folder using the binder service.
Features
Linear input/output systems in state-space and frequency domain
Block diagram algebra: serial, parallel, feedback, and other interconnections
Time response: initial, step, impulse
Frequency response: Bode, Nyquist, and Nichols plots
Control analysis: stability, reachability, observability, stability margins, root locus
Control design: eigenvalue placement, linear quadratic regulator, sisotool, hinfsyn, rootlocus_pid_designer
Estimator design: linear quadratic estimator (Kalman filter)
Nonlinear systems: optimization-based control, describing functions, differential flatness
Links
Project home page: http://python-control.org
Source code repository: https://github.com/python-control/python-control
Documentation: http://python-control.readthedocs.org/
Issue tracker: https://github.com/python-control/python-control/issues
Mailing list: http://sourceforge.net/p/python-control/mailman/
Dependencies
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). The Slycot wrapper can be found at:
Installation
Conda and conda-forge
The easiest way to get started with the Control Systems library is using Conda.
The Control Systems library has been packages for the conda-forge Conda channel, and as of Slycot version 0.3.4, binaries for that package are available for 64-bit Windows, OSX, and Linux.
To install both the Control Systems library and Slycot in an existing conda environment, run:
conda install -c conda-forge control slycot
Pip
To install using pip:
pip install slycot # optional; see below pip install control
If you install Slycot using pip you’ll need a development environment (e.g., Python development files, C and Fortran compilers).
Installing from source
To install from source, get the source code of the desired branch or release from the github repository or archive, unpack, and run from within the toplevel python-control directory:
pip install .
Article and Citation Information
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
Development
Code
You can check out the latest version of the source code with the command:
git clone https://github.com/python-control/python-control.git
Testing
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
License
This is free software released under the terms of the BSD 3-Clause License. There is no warranty; not even for merchantability or fitness for a particular purpose. Consult LICENSE for copying conditions.
When code is modified or re-distributed, the LICENSE file should accompany the code or any subset of it, however small. As an alternative, the LICENSE text can be copied within files, if so desired.
Contributing
Your contributions are welcome! Simply fork the GitHub repository and send a pull request.
Please see the Developer’s Wiki for detailed instructions.
5 maintainers
Metadata
5 maintainers
Release files for control 0.9.3.post2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| control-0.9.3.post2.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| control-0.9.3.post2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.3 MB
Release files / control-0.9.3.post2.tar.gz
| Download URL | control-0.9.3.post2.tar.gz |
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| Download URL | control-0.9.3.post2-py3-none-any.whl |
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| Size | 432.8 kB |
| Tags | Python 3 |
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