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        "author": "Richard Murray",
        "author_email": "murray@cds.caltech.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development"
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        "description": ".. image:: https://travis-ci.org/python-control/python-control.svg?branch=master\n   :target: https://travis-ci.org/python-control/python-control\n.. image:: https://coveralls.io/repos/python-control/python-control/badge.png\n   :target: https://coveralls.io/r/python-control/python-control\n\nPython Control Systems Library\n==============================\n\nThe Python Control Systems Library is a Python module that implements basic\noperations for analysis and design of feedback control systems.\n\nFeatures\n--------\n\n- Linear input/output systems in state-space and frequency domain\n- Block diagram algebra: serial, parallel, and feedback interconnections\n- Time response: initial, step, impulse\n- Frequency response: Bode and Nyquist plots\n- Control analysis: stability, reachability, observability, stability margins\n- Control design: eigenvalue placement, linear quadratic regulator\n- Estimator design: linear quadratic estimator (Kalman filter)\n\n\nLinks\n=====\n\n- Project home page: http://python-control.org\n- Source code repository: https://github.com/python-control/python-control\n- Documentation: http://python-control.readthedocs.org/\n- Issue tracker: https://github.com/python-control/python-control/issues\n- Mailing list: http://sourceforge.net/p/python-control/mailman/\n\n\nDependencies\n============\n\nThe package requires numpy, scipy, and matplotlib.  In addition, some routines\nuse a module called slycot, that is a Python wrapper around some FORTRAN\nroutines.  Many parts of python-control will work without slycot, but some\nfunctionality is limited or absent, and installation of slycot is recommended\n(see below).  Note that in order to install slycot, you will need a FORTRAN\ncompiler on your machine.  The Slycot wrapper can be found at:\n\nhttps://github.com/python-control/Slycot\n\nInstallation\n============\n\nThe package may be installed using pip, conda, or distutils.\n\nPip\n---\n\nTo install using pip::\n\n  pip install slycot   # optional\n  pip install control\n\nconda-forge\n-----------\n\nBinaries are available from conda-forge for selected platforms (Linux and\nMacOS).  Install using\n\n  conda install -c conda-forge control\n\nDistutils\n---------\n\nTo install in your home directory, use::\n\n  python setup.py install --user\n\nTo install for all users (on Linux or Mac OS)::\n\n  python setup.py build\n  sudo python setup.py install\n\n\nDevelopment\n===========\n\nCode\n----\n\nYou can check out the latest version of the source code with the command::\n\n  git clone https://github.com/python-control/python-control.git\n\nTesting\n-------\n\nYou can run a set of unit tests to make sure that everything is working\ncorrectly.  After installation, run::\n\n  python setup.py test\n\nLicense\n-------\n\nThis is free software released under the terms of `the BSD 3-Clause\nLicense <http://opensource.org/licenses/BSD-3-Clause>`_.  There is no\nwarranty; not even for merchantability or fitness for a particular\npurpose.  Consult LICENSE for copying conditions.\n\nWhen code is modified or re-distributed, the LICENSE file should\naccompany the code or any subset of it, however small.  As an\nalternative, the LICENSE text can be copied within files, if so\ndesired.\n\nContributing\n------------\n\nYour contributions are welcome!  Simply fork the GitHub repository and send a\n`pull request`_.\n\n.. _pull request: https://github.com/python-control/python-control/pulls",
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