Version 0.9.3 adds support for collocation in finding optimal trajectories (#799), adds the ability to compute optimal trajectories for flat systems (#763) adds support for passivity indices and passivity tests for discrete time systems (#750), and includes support for gain scheduling (in create_statefbk_iosystem, #827). Setup is now done using setuptools (pip install . instead of python setup.py install).
Installation instructions:
pip install slycot # optional
pip install control
You should get slycot-0.5.3 and python-control-0.9.3.post2. 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 v0.9.3.
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/releases/tag/0.9.3
-richard
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