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[http://gramian.de emgr] - '''Em'''pirical '''Gr'''amian Framework. |
[http://gramian.de emgr] - '''Em'''pirical '''Gr'''amian Framework. |
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Empirical gramians can be computed for linear and nonlinear control systems for purposes of model order reduction or system identification. |
Empirical gramians can be computed for linear and nonlinear control systems for purposes of model order reduction or system identification. |
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| + | Model reduction using empirical gramians can be applied to the state space, to the parameter space or to both through combined reduction. |
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The '''emgr''' framework is a compact open source toolbox for gramian-based model reduction and compatible with [http://www.gnu.org/software/octave/ OCTAVE] and [http://www.mathworks.de/products/matlab/ MATLAB]. |
The '''emgr''' framework is a compact open source toolbox for gramian-based model reduction and compatible with [http://www.gnu.org/software/octave/ OCTAVE] and [http://www.mathworks.de/products/matlab/ MATLAB]. |
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Revision as of 17:19, 20 March 2013
emgr - Empirical Gramian Framework.
Empirical gramians can be computed for linear and nonlinear control systems for purposes of model order reduction or system identification.
Model reduction using empirical gramians can be applied to the state space, to the parameter space or to both through combined reduction.
The emgr framework is a compact open source toolbox for gramian-based model reduction and compatible with OCTAVE and MATLAB.
Features
emgr encompasses six types of gramians:
- Empirical Controllability Gramian
- Empirical Observability Gramian
- Empirical Cross Gramian
- Empirical Sensitivity Gramian
- Empirical Identifiability Gramian
- Empirical Joint Gramian
with sample implementations for:
- Balanced Truncation
- Direct Truncation
- Parameter Identification
- Parameter Reduction
- Combined Reduction
- Inverse Problems