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Python based modular simulation & postprocessing kickass toolbox

Project description

=========
PyMoskito
=========

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PyMoskito stands for *Python based modular simulation & postprocessing kickass
toolbox* and is **Free software** (GPLv3)

PyMoskito is targeted at students and researchers working in control
engineering. It takes care of all structure related programming a let's you
focus on the important things in life: **control design**
It features a modular control loop structure that already contains most of the
needed blocks a control engineer needs. Basically you implement your systems
dynamics as well as a fancy control law and you are ready to go.
On top PyMoskito also contains a GUI which let's you easily fine-tune the
parameters of your simulation.

**Go ahead and give it a try!**

Documentation can be found at https://pymoskito.readthedocs.org.

PyMoskito at work:
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The main application simulating the **Ball and Beam** system:

.. image:: ./docs/pictures/pm_2.png

The postprocessing application:

.. image:: ./docs/pictures/pm_3.png

Another example a **Double Pendulum**:

.. image:: ./docs/pictures/pm_4.png

with custom prostprocessors:

.. image:: ./docs/pictures/pm_5.png

Still here? So PyMoskito features:
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* quick setup due to lightweight dependencies
* modular control loop structure allowing easy configuration
* easy integration of own system models through open interface
* automatic simulation of simulation regimes (i.e. for parameter ranges)
* export of simulation results for dedicated post processing
* VTK based 3D visualization interface
* playback functions for 3D visualization
* ready-to-go graphs for all simulation signals


.. include:: AUTHORS.rst




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History
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0.2.3 (2018-05-14)
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* 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)
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* 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)
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* Fixed issue when installing via pip
* Fixed issue with metaprocessors and added example metaprocessor for ballbeam
* Downgraded requirements

0.2.0 (2017-08-18)
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* 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)
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* First release on PyPI.

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