History¶
0.4.1 (2024-10-21)¶
Fix issue with renamed scipy function (#88)
Add support for Python 3.12 and drop support for 3.7
Bump version requirements
Migrate installation form setup.py to pyproject.toml
Update docs
0.4.0 (2021-09-17)¶
Added support to compile and call external C and C++ functions for hardware in the loop tests (Thanks to Jens)
Add the possibility for the visualization the render the current model parameters (#56)
Various improvements regarding plot creation and handling
Visualizers can now be changed during runtime
Migrated CI pipeline to Github Actions
Fix various coding style issues
Fix issue in playback logic (#62)
Dropped support for Python 3.6
0.3.0 (2018-10-01)¶
Added a new plot system
Added a last simulation list
Added more log messages
Removed latex as an requirement for the main GUI, only required for the Postprocessor
0.2.3 (2018-05-14)¶
Added sensible examples for Post- and Meta processors in the Ball and Beam example
Fixed Issue regarding the Disturbance Block
Removed error-prone pseudo post processing
Fixed problems due to changes in trajectory generators
0.2.2 (2018-03-28)¶
Added extensive beginners guide (thanks to Jonas) and tutorial section
Added extended documentation for examples (again, thanks to Jonas)
0.2.1 (2017-09-07)¶
Fixed issue when installing via pip
Fixed issue with metaprocessors and added example metaprocessor for ballbeam
Downgraded requirements
0.2.0 (2017-08-18)¶
Second minor release with lots of new features.
Completely overhauled graphical user interface with menus and shortcuts.
PyMoskito now comes with three full-fledged examples from the world of control theory, featuring the Ball and Beam- and a Tandem-Pendulum system.
The main application now has a logger window which makes it easier to see what is going on in the simulation circuit.
Several bugs concerning encoding issues have been fixed
Unittest have been added and the development now uses travis-ci
Version change from PyQt4 to Pyt5
Version change form Python 2.7 to 3.5+
Changed version to GPLv3 and added appropriate references for the used images.
Improved the export of simulation results
Introduced persistent settings that make opening files less painful.
Made vtk an optional dependency and added matplotlib based visualizers.
Large improvements concerning the sphinx-build documentation
Fixed issue concerning possible data types for simulation module properties
Introduced new generic modules that directly work on scipy StateSpace objects.
0.1.0 (2015-01-11)¶
First release on PyPI.