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Released:

Python Control Systems Library

Project description

Python Control Systems Library

The Python Control Systems Library is a Python module that implements basicoperations for analysis and design of feedback control systems.

Features

• 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)

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 routinesuse a module called slycot, that is a Python wrapper around some FORTRANroutines. Many parts of python-control will work without slycot, but somefunctionality is limited or absent, and installation of slycot is recommended(see below). Note that in order to install slycot, you will need a FORTRANcompiler on your machine. The Slycot wrapper can be found at:

Installation

Conda and conda-forge

The easiest way to get started with the Control Systems library isusing Conda.

The Control Systems library has been packages for the conda-forge Conda channel, and as of Slycot version0.3.4, binaries for that package are available for 64-bit Windows,OSX, and Linux.

To install both the Control Systems library and Slycot in an existingconda environment, run:

Pip

To install using pip:

If you install Slycot using pip you’ll need a development environment(e.g., Python development files, C and Fortran compilers).

Distutils

To install in your home directory, use:

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

Development

Code

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

Testing

You can run the unit tests with pytest to make sure that everything isworking correctly. Inside the source directory, run:

or to test the installed package:

License

Python For Machine Control

This is free software released under the terms of the BSD 3-ClauseLicense. There is nowarranty; not even for merchantability or fitness for a particularpurpose. Consult LICENSE for copying conditions.

When code is modified or re-distributed, the LICENSE file shouldaccompany the code or any subset of it, however small. As analternative, the LICENSE text can be copied within files, if sodesired.

Contributing

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

Please see the Developer’s Wiki for detailed instructions.

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0.9.0

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0.6.0

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