[python-control-announce] python-control 0.9.2 now available

[Murray, R. M. <mu...@cd...>]

Version 0.9.2 is a minor release that includes I/O system enhancements, optimal control enhancements, new functionality for stochastic systems, updated system class functionality, bug fixes and improvements to Nyquist plots and Nichols charts, and L-infinity norm computation for linear systems, in addition to bug fixes and improvements in documentation/examples.

Installation instructions:

pip install slycot     # optional
pip install control

You should get slycot-0.4.0.0 and python-control-0.9.2.  Note that python-control depends on numpy, scipy, and matplotlib and you will need recent versions of all of these packages in order to run v0.9.2.

Binary installations are available for Linux, Mac, and Windows platforms using conda and conda-forge:

conda install -c conda-forge control

Slycot should be installed automatically, without the need for a Fortran compiler.

Documentation is available at https://python-control.readthedocs.org/

A detailed list of changes can be found here:

https://github.com/python-control/python-control/wiki/Release-notes#python-control-092-28-may-2022

-richard