Difference between revisions of "SssMOR"

Latest revision as of 17:59, 8 December 2020

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...

...classical reduction methods such as modal truncation, Rational Krylov Method, Balanced Truncation
...state-of-the-art reduction methods such as isrk, Iterative Rational Krylov Method, icop, cure, spark, cirka,...
...a Graphical User Interface (GUI)

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:

References

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

Contact

Alessandro Castagnotto

Maria Cruz Varona

morlab@rt.mw.tum.de

@@ Line 7: / Line 7: @@
 [[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].
+[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.
@@ Line 29: / Line 29: @@
 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]]
+[[File:poster_Castagnotto_Komso.pdf|180px]]
 == References ==
@@ Line 36: / Line 36: @@
 == Links ==
-* Official website: http://www.rt.mw.tum.de/?sssMOR
+* Official website: https://www.mw.tum.de/rt/forschung/modellordnungsreduktion/software/sssmor/
 * MATLAB File Exchange: http://de.mathworks.com/matlabcentral/fileexchange/59169-sssmor-toolbox
-* Public Git Repository: coming soon
+* Public Git Repository: https://github.com/MORLab/sssMOR
 == Contact ==
-[[User:Castagnotto| Alessandro Castagnotto]],
+[[User:Castagnotto| Alessandro Castagnotto]]
-[[User:Cruz_varona| Maria Cruz Varona]],
+[[User:Cruz_varona| Maria Cruz Varona]]
-[mailto:sssmor@rt.mw.tum.de sssmor@rt.mw.tum.de],
 [mailto:morlab@rt.mw.tum.de morlab@rt.mw.tum.de]