153 lines
5.6 KiB
Plaintext
153 lines
5.6 KiB
Plaintext
|
Metadata-Version: 1.1
|
||
|
|
Name: control
|
||
|
|
Version: 0.8.3
|
||
|
|
Summary: Python control systems library
|
||
|
|
Home-page: http://python-control.sourceforge.net
|
||
|
|
Author: Richard Murray
|
||
|
|
Author-email: murray@cds.caltech.edu
|
||
|
|
License: UNKNOWN
|
||
|
|
Description: .. image:: https://travis-ci.org/python-control/python-control.svg?branch=master
|
||
|
|
:target: https://travis-ci.org/python-control/python-control
|
||
|
|
.. image:: https://coveralls.io/repos/python-control/python-control/badge.png
|
||
|
|
:target: https://coveralls.io/r/python-control/python-control
|
||
|
|
|
||
|
|
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.
|
||
|
|
|
||
|
|
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 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). Note that in order to install slycot, you will need a FORTRAN
|
||
|
|
compiler on your machine. The Slycot wrapper can be found at:
|
||
|
|
|
||
|
|
https://github.com/python-control/Slycot
|
||
|
|
|
||
|
|
Installation
|
||
|
|
============
|
||
|
|
|
||
|
|
Conda and conda-forge
|
||
|
|
---------------------
|
||
|
|
|
||
|
|
The easiest way to get started with the Control Systems library is
|
||
|
|
using `Conda <https://conda.io>`_.
|
||
|
|
|
||
|
|
The Control Systems library has been packages for the `conda-forge
|
||
|
|
<https://conda-forge.org>`_ 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).
|
||
|
|
|
||
|
|
Distutils
|
||
|
|
---------
|
||
|
|
|
||
|
|
To install in your home directory, use::
|
||
|
|
|
||
|
|
python setup.py install --user
|
||
|
|
|
||
|
|
To install for all users (on Linux or Mac OS)::
|
||
|
|
|
||
|
|
python setup.py build
|
||
|
|
sudo python setup.py install
|
||
|
|
|
||
|
|
|
||
|
|
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 a set of unit tests to make sure that everything is working
|
||
|
|
correctly. After installation, run::
|
||
|
|
|
||
|
|
python setup.py test
|
||
|
|
|
||
|
|
License
|
||
|
|
-------
|
||
|
|
|
||
|
|
This is free software released under the terms of `the BSD 3-Clause
|
||
|
|
License <http://opensource.org/licenses/BSD-3-Clause>`_. 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`_.
|
||
|
|
|
||
|
|
.. _pull request: https://github.com/python-control/python-control/pulls
|
||
|
|
|
||
|
|
|
||
|
|
Platform: UNKNOWN
|
||
|
|
Classifier: Development Status :: 3 - Alpha
|
||
|
|
Classifier: Intended Audience :: Science/Research
|
||
|
|
Classifier: Intended Audience :: Developers
|
||
|
|
Classifier: License :: OSI Approved :: BSD License
|
||
|
|
Classifier: Programming Language :: Python :: 2
|
||
|
|
Classifier: Programming Language :: Python :: 2.7
|
||
|
|
Classifier: Programming Language :: Python :: 3
|
||
|
|
Classifier: Programming Language :: Python :: 3.5
|
||
|
|
Classifier: Programming Language :: Python :: 3.6
|
||
|
|
Classifier: Topic :: Software Development
|
||
|
|
Classifier: Topic :: Scientific/Engineering
|
||
|
|
Classifier: Operating System :: Microsoft :: Windows
|
||
|
|
Classifier: Operating System :: POSIX
|
||
|
|
Classifier: Operating System :: Unix
|
||
|
|
Classifier: Operating System :: MacOS
|