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SssMOR: Difference between revisions

Created page with "Category:Software Category:Linear algebra Category:sparse Category:MATLAB Category:control [http://www.rt.mw.tum.de/?sssMOR sssMOR], the '''s'''parse '''s..."
 
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[[Category:control]]
[[Category:control]]


[http://www.rt.mw.tum.de/?sssMOR sssMOR], the '''s'''parse '''s'''tate '''s'''pace and '''M'''odel '''O'''rder '''R'''eduction toolbox, is an open-source MATLAB toolbox for the analysis and reduction of large-scale linear models, developed at the [http://www.rt.mw.tum.de/forschung/forschungsgebiete/modellordnungsreduktion/ Chair of Automatic Control at TU Munich].
[[File:logo_sssMOR_long.png|180px]]
 
[http://www.rt.mw.tum.de/?sssMOR sssMOR], the '''s'''parse '''s'''tate '''s'''pace and '''M'''odel '''O'''rder '''R'''eduction toolbox, is an open-source MATLAB toolbox for the analysis and reduction of large-scale linear models, developed at the [http://www.rt.mw.tum.de/en/research/fields-of-research/morlab/ Chair of Automatic Control at TU Munich].
It can be seen as a natural extension of MATLAB's [http://www.mathworks.com/products/control.html Control System Toolbox] allowing to extend the analysis and control design to systems represented by large-scale models.
It can be seen as a natural extension of MATLAB's [http://www.mathworks.com/products/control.html Control System Toolbox] allowing to extend the analysis and control design to systems represented by large-scale models.




== Features ==
== Features ==
[[File:logo_sssMOR_long.png]]


'''sssMOR''' includes the '''sss''' toolbox which can be used to...
'''sssMOR''' includes the '''sss''' toolbox which can be used to...
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* ...exploit sparsity in the analysis of large-scale models with functions such as bode, impulse, step, lsim, norm, ...
* ...exploit sparsity in the analysis of large-scale models with functions such as bode, impulse, step, lsim, norm, ...
* ...manipulate state-space models through additions, subtractions, multiplications, connections, truncations, ...
* ...manipulate state-space models through additions, subtractions, multiplications, connections, truncations, ...
[[File:logo_sss_long.png]]


In addition, '''sssMOR''' includes...
In addition, '''sssMOR''' includes...

Revision as of 16:28, 2 May 2017


sssMOR, the sparse state space and Model Order Reduction toolbox, is an open-source MATLAB toolbox for the analysis and reduction of large-scale linear models, developed at the Chair of Automatic Control at TU Munich. It can be seen as a natural extension of MATLAB's Control System Toolbox allowing to extend the analysis and control design to systems represented by large-scale models.


Features

sssMOR includes the sss toolbox which can be used to...

  • ...define state-space models in MATLAB while preserving the sparsity of the system matrices. This allows a definition of models up to a state-space dimension of 108.
  • ...exploit sparsity in the analysis of large-scale models with functions such as bode, impulse, step, lsim, norm, ...
  • ...manipulate state-space models through additions, subtractions, multiplications, connections, truncations, ...

In addition, sssMOR includes...

sssMOR is compatible to MESS for the low-rank approximative solution of Lyapunov equations, e.g. within the functions norm and tbr.

The toolbox comes with a full MATLAB documentation as well as demos and tutorials. By signing up to our mailing list you can stay up-to-date with new releases.

A brief introduction to the toolbox is given in the paper [1], as well as in following poster:

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References

  1. A. Castagnotto; M. Cruz Varona; L. Jeschek; B. Lohman, "sss & sssMOR: Analysis and Reduction of Large-Scale Dynamic Systems in MATLAB ", at-Automatisierungstechnik, 2017

Links

Contact

Alessandro Castagnotto, Maria Cruz Varona, sssmor@rt.mw.tum.de