From: Murray, R. M. <mu...@cd...> - 2018-12-23 18:15:09
|
Version 0.8.1 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 v0.8.1. 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 -richard Changes since previous release (0.8.0): This release fixes a number of small issues and adds a few new features: * A new canonical function modal_form can be used to convert a state space system to modal form (ipa-lth) * Improved pole placement algorithm place_varga (rabraker) * Bug fix in computing poles of MIMO transfer functions (murrayrm) * Indexing of MIMO transfer functions (hungpham2511) * Additional small bug fixes (adm78, stertingen) * Documentation updates and fixes (joaoantoniocardoso, murrayrm) * List of all changes in this release: https://github.com/python-control/python-control/compare/0.8.0...0.8.1 |