153 lines
5.6 KiB
Plaintext
153 lines
5.6 KiB
Plaintext
Metadata-Version: 1.1
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Name: control
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Version: 0.8.3
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Summary: Python control systems library
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Home-page: http://python-control.sourceforge.net
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Author: Richard Murray
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Author-email: murray@cds.caltech.edu
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License: UNKNOWN
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Description: .. image:: https://travis-ci.org/python-control/python-control.svg?branch=master
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:target: https://travis-ci.org/python-control/python-control
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.. image:: https://coveralls.io/repos/python-control/python-control/badge.png
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:target: https://coveralls.io/r/python-control/python-control
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Python Control Systems Library
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==============================
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The Python Control Systems Library is a Python module that implements basic
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operations for analysis and design of feedback control systems.
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Features
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--------
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- Linear input/output systems in state-space and frequency domain
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- Block diagram algebra: serial, parallel, and feedback interconnections
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- Time response: initial, step, impulse
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- Frequency response: Bode and Nyquist plots
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- Control analysis: stability, reachability, observability, stability margins
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- Control design: eigenvalue placement, linear quadratic regulator
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- Estimator design: linear quadratic estimator (Kalman filter)
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Links
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=====
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- Project home page: http://python-control.org
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- Source code repository: https://github.com/python-control/python-control
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- Documentation: http://python-control.readthedocs.org/
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- Issue tracker: https://github.com/python-control/python-control/issues
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- Mailing list: http://sourceforge.net/p/python-control/mailman/
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Dependencies
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============
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The package requires numpy, scipy, and matplotlib. In addition, some routines
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use a module called slycot, that is a Python wrapper around some FORTRAN
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routines. Many parts of python-control will work without slycot, but some
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functionality is limited or absent, and installation of slycot is recommended
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(see below). Note that in order to install slycot, you will need a FORTRAN
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compiler on your machine. The Slycot wrapper can be found at:
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https://github.com/python-control/Slycot
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Installation
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============
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Conda and conda-forge
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---------------------
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The easiest way to get started with the Control Systems library is
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using `Conda <https://conda.io>`_.
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The Control Systems library has been packages for the `conda-forge
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<https://conda-forge.org>`_ Conda channel, and as of Slycot version
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0.3.4, binaries for that package are available for 64-bit Windows,
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OSX, and Linux.
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To install both the Control Systems library and Slycot in an existing
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conda environment, run::
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conda install -c conda-forge control slycot
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Pip
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---
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To install using pip::
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pip install slycot # optional; see below
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pip install control
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If you install Slycot using pip you'll need a development environment
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(e.g., Python development files, C and Fortran compilers).
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Distutils
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---------
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To install in your home directory, use::
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python setup.py install --user
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To install for all users (on Linux or Mac OS)::
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python setup.py build
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sudo python setup.py install
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Development
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===========
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Code
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----
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You can check out the latest version of the source code with the command::
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git clone https://github.com/python-control/python-control.git
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Testing
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-------
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You can run a set of unit tests to make sure that everything is working
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correctly. After installation, run::
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python setup.py test
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License
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-------
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This is free software released under the terms of `the BSD 3-Clause
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License <http://opensource.org/licenses/BSD-3-Clause>`_. There is no
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warranty; not even for merchantability or fitness for a particular
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purpose. Consult LICENSE for copying conditions.
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When code is modified or re-distributed, the LICENSE file should
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accompany the code or any subset of it, however small. As an
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alternative, the LICENSE text can be copied within files, if so
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desired.
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Contributing
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------------
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Your contributions are welcome! Simply fork the GitHub repository and send a
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`pull request`_.
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.. _pull request: https://github.com/python-control/python-control/pulls
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Platform: UNKNOWN
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Classifier: Development Status :: 3 - Alpha
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Topic :: Software Development
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Classifier: Topic :: Scientific/Engineering
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Operating System :: Unix
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Classifier: Operating System :: MacOS
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