sssMOR Toolbox
The sssMOR Toolbox implements both classic and state-of-the-art model reduction algorithms that capture the relevant dynamics of the high order system in models of significantly lower dimension.
After installation, execute "runme" for initial setup and download of benchmark models and third-party software.
sssMOR is now available also on GitHub under https://github.com/MORLab/sssMOR.
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MORLab @ Chair of Automatic Control (2024). sssMOR Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/59169-sssmor-toolbox), MATLAB Central File Exchange. Recuperado .
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sss/demos/
sss/src/+sssFunc/
sss/src/@sss/
sss/src/extras/
sss/src/extras/third-party/
sss/src/sim/
sssMOR/demos/
sssMOR/src/MOR/@ssRed/
sssMOR/src/MOR/classic/
sssMOR/src/MOR/stateOfTheArt/
sssMOR/src/extras/
Versión | Publicado | Notas de la versión | |
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2.0 | - updated toolbox description with comment on "runme" execution after installation
+ Update the ssRed class
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1.8.0.0 | - added CIRKA, fast H2-optimal model reduction based on the model function framework (cp. http://ieeexplore.ieee.org/document/7810578/)
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1.7.0.0 | - improved compatibility with ss-class definition in the Control System Toolbox (that changed from 2015b to 2016a)
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1.6.0.0 |
the upload of the new toolbox file did not work in the last update
Between 2015b and 2016a MATLAB has changed the definition of ss-class properties. In order to make it work correctly in the ssRed class (reduced order models) a few workarounds had to be implemented. |