SssMOR

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 , as well as in following poster:

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Links

• Official website: http://www.rt.mw.tum.de/?sssMOR
• MATLAB File Exchange: http://de.mathworks.com/matlabcentral/fileexchange/59169-sssmor-toolbox
• Public Git Repository: coming soon

Contact

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