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 ^[1], as well as in following poster: