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Difference between revisions of "SssMOR"

(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]]
   
 
[[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/forschung/forschungsgebiete/modellordnungsreduktion/ Chair of Automatic Control at TU Munich].
 
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[https://www.mw.tum.de/rt/forschung/modellordnungsreduktion/software/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...
* ...classical reduction methods such as modal truncation, [[Rational Krylov Method]], [[Balanced Truncation]], [[Balanced Truncation|Approximate Balancing]]
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* ...classical reduction methods such as modal truncation, [[Rational Krylov Method]], [[Balanced Truncation]]
 
* ...state-of-the-art reduction methods such as isrk, [[IRKA|Iterative Rational Krylov Method]], icop, cure, spark, cirka,...
 
* ...state-of-the-art reduction methods such as isrk, [[IRKA|Iterative Rational Krylov Method]], icop, cure, spark, cirka,...
 
* ...a Graphical User Interface (GUI)
 
* ...a Graphical User Interface (GUI)
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A brief introduction to the toolbox is given in the paper <ref name="castagnotto17">A. Castagnotto; M. Cruz Varona; L. Jeschek; B. Lohman, "<span class="plainlinks">[http://dx.doi.org/10.1515/auto-2016-0137 sss & sssMOR: Analysis and Reduction of Large-Scale Dynamic Systems in MATLAB ]</span>", at-Automatisierungstechnik, 2017</ref>, as well as in following poster:
 
A brief introduction to the toolbox is given in the paper <ref name="castagnotto17">A. Castagnotto; M. Cruz Varona; L. Jeschek; B. Lohman, "<span class="plainlinks">[http://dx.doi.org/10.1515/auto-2016-0137 sss & sssMOR: Analysis and Reduction of Large-Scale Dynamic Systems in MATLAB ]</span>", at-Automatisierungstechnik, 2017</ref>, as well as in following poster:
   
[[File:poster_Castagnotto_Komso.pdf]]
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[[File:poster_Castagnotto_Komso.pdf|180px]]
   
 
== References ==
 
== References ==
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== Links ==
 
== Links ==
* Official website: http://www.rt.mw.tum.de/?sssMOR
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* Official website: https://www.mw.tum.de/rt/forschung/modellordnungsreduktion/software/sssmor/
 
* MATLAB File Exchange: http://de.mathworks.com/matlabcentral/fileexchange/59169-sssmor-toolbox
 
* MATLAB File Exchange: http://de.mathworks.com/matlabcentral/fileexchange/59169-sssmor-toolbox
* Public Git Repository: coming soon
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* Public Git Repository: https://github.com/MORLab/sssMOR
   
 
== Contact ==
 
== Contact ==
[[User:Castagnotto| Alessandro Castagnotto]],
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[[User:Castagnotto| Alessandro Castagnotto]]
  +
[[User:Cruz| Maria Cruz Varona]],
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[[User:Cruz_varona| Maria Cruz Varona]]
sssmor@rt.mw.tum.de
 
  +
  +
[mailto:morlab@rt.mw.tum.de morlab@rt.mw.tum.de]

Latest revision as of 17:59, 8 December 2020


Logo sssMOR long.png

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:

Poster Castagnotto Komso.pdf

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

morlab@rt.mw.tum.de