From: Richard M. <mu...@cd...> - 2018-07-08 14:45:29
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Version 0.8.0 of the python-control toolbox is now available for download on GitHub, as well as via pip and conda. A short list of changes is appended to the bottom of this message. Installation instructions: pip install slycot # optional pip install control You should get slycot v0.3.0 and python-control v0.8.0. In order to install slycot via pip you will need to have a Fortran compiler on your system. Note that python-control depends on numpy, scipy, and matplotlib. Binary installations are available for Linux and Mac platforms using conda and conda-forge: conda install -c conda-forge control Slycot should be installed automatically, without the need for a Fortran compiler. (Unfortunately, conda-forge does not yet support Fortran for Windows builds => you have to install from source.) Documentation is available at http://python-control.readthedocs.org/ Thanks to Jason Moore, Rene van Paassen, Rory Yorke, Yuichi Nagayama, Mitchell Clement, Kurt Sansom, Jed Frey, gonmolina, Alessio Russo, Joseph Slater, Lorenz Halt, Tyler Veness and others who contributed to this release. -richard Changes since previous release (0.7.0): * Updated and corrected docstrings * Better support for MIMO systems in `pole()` and `zero()` functions * Support for SciPy-1.0.0 updates to the `scipy.signal` module that is used for some python-control functions and support for `numpy` data types (int32, int64, etc) in all python-control functions * Support for static gains (0D state space systems and constant transfer functions) * New functions `obsv` (observable canonical form), `augw` and `mixsyn` (mixed sensitivity synthesis) * Full list of merged pull requests(https://github.com/python-control/python-control/pulls?q=is%3Amerged+milestone%3A0.8.0+is%3Apr * Full list of commits(https://github.com/python-control/python-control/compare/v0.7.0...0.8.0 * GitHub release page: https://github.com/python-control/python-control/releases/tag/0.8.0 |