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Repository Details

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

sssMOR

A sparse state-space, model order reduction toolbox developed at the Chair of Automatic Control, Technische Universität München.

For more information, type doc in the command window or visit http://www.rt.mw.tum.de/?sssMOR. Check out also our demo by typing sssMOR_gettingStarted in the command window


Programmed with: MATLAB R2015b

Tested on: MATLAB R2014b, R2015b, R2016b (both Windows 7 and Ubuntu 16.04.1 LTS)

Some functions require: Control System Toolbox, Optimization Toolbox.

Note: Sign up for our newsletter under https://lists.lrz.de/mailman/listinfo/morlab to stay up to date.


Copyright

This toolbox is developed by MORLab, the model reduction lab at the Chair of Automatic Control.


Acknowledgements

The developing team is thankful to all the research assistants and students at MORLab that have contributed at creating and developing the sssMOR toolbox since 2010.

The team of Morembs, a model reduction software for elastic multibody systems, is sincerely acknowledged for the support in the automated generation of the documentation for the toolbox.


Developing guidelines

We hope that you enjoy the toolbox and would like to contribute by extending its capability. To make sure that the developing does not get out of hand, we prepared a few guidelines that we ask you to follow.

Folder structure

The folder structure of the toolbox is as follows

  • sssMOR (main folder)
    • app
    • demos
    • doc
    • src (source code)
      • extras
      • MOR (reduction algorithms)
        • @ssRed (class definition for reduced objects)
        • classic
        • stateOfTheArt
    • test

Documentation

To automatically generate the documentation for the toolbox from the function headers, type publishDoc('sssMOR') in the command window. Make sure to format the function headers according to the headerTemplate.m provided. To publish the documentation for a single function, use syntax publishFunction('function name').