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[[Category:Software]] |
[[Category:Software]] |
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[[Category:MATLAB]] |
[[Category:MATLAB]] |
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| + | [[Category:Octave]] |
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[[File:Emgr_box.png|100px|right|emgr box]] |
[[File:Emgr_box.png|100px|right|emgr box]] |
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* Empirical [[:Wikipedia:Observability_Gramian|Observability Gramian]] |
* Empirical [[:Wikipedia:Observability_Gramian|Observability Gramian]] |
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* Empirical [[:Wikipedia:Cross_Gramian|Cross Gramian]] (including an Empirical Non-Symmetric Cross Gramian) |
* Empirical [[:Wikipedia:Cross_Gramian|Cross Gramian]] (including an Empirical Non-Symmetric Cross Gramian) |
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| − | * Empirical Linear Cross Gramian |
+ | * Empirical Linear [[:Wikipedia:Cross_Gramian|Cross Gramian]] |
* Empirical Sensitivity Gramian |
* Empirical Sensitivity Gramian |
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* Empirical Identifiability Gramian |
* Empirical Identifiability Gramian |
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and with sample code for: |
and with sample code for: |
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| − | * [[Balanced Truncation]] |
+ | * [[Balanced Truncation]] and balancing related methods |
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* Parameter Identification + Sensitivity Analysis |
* Parameter Identification + Sensitivity Analysis |
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* Parameter Reduction + Robust Reduction |
* Parameter Reduction + Robust Reduction |
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| + | * Optimal Sensor + Actuator Placement |
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| ⚫ | |||
* Decentralized Control |
* Decentralized Control |
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* Nonlinearity Quantification |
* Nonlinearity Quantification |
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Revision as of 13:13, 10 March 2018
Synopsis
emgr - Empirical Gramian Framework (Version 5.3). Empirical gramians can be computed for linear and nonlinear control systems for purposes of model order reduction, uncertainty quantification and 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 seven types of gramians:
- Empirical Controllability Gramian
- Empirical Observability Gramian
- Empirical Cross Gramian (including an Empirical Non-Symmetric Cross Gramian)
- Empirical Linear Cross Gramian
- Empirical Sensitivity Gramian
- Empirical Identifiability Gramian
- Empirical Joint Gramian
applicable to:
- Linear + Nonlinear Control Systems
- First + Second Order Control Systems
- Parametrized | Parametric Systems
- Time Invariant + Varying Systems
- Discretized PDEs
and with sample code for:
- Balanced Truncation and balancing related methods
- Combined State and Parameter Reduction
- Parameter Identification + Sensitivity Analysis
- Parameter Reduction + Robust Reduction
- Optimal Sensor + Actuator Placement
- Decentralized Control
- Nonlinearity Quantification
References
- C. Himpe, M. Ohlberger. "A Unified Software Framework for Empirical Gramians". Journal of Mathematics, vol. 2013:1--6, 2013.
- C. Himpe, M. Ohlberger. "Cross-Gramian Based Combined State and Parameter Reduction for Large-Scale Control Systems". Mathematical Problems in Engineering, vol. 2014:1--13, 2014.
- C. Himpe, M. Ohlberger. "Model Reduction for Complex Hyperbolic Networks". Proceedings of the ECC'14: 2739--2743, 2014.
- C. Himpe, M. Ohlberger. "A note on the cross gramian for non-symmetric systems". System Science and Control Engineering 4(1): 199--208, 2016.
- C. Himpe. "Combined State and Parameter Reduction for Nonlinear Systems with an Application in Neuroscience". Westfälische Wilhelms Universität, Sierke Verlag Göttingen, 2017.
Links
- Official website: http://gramian.de
- Meta Information: INI code-metadata
- Oberwolfach References on Mathematical Software: Entry