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Difference between revisions of "Emgr"

(Added code meta data table.)
(→‎References: added PAMM and fixes)
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== References ==
 
== References ==
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* S. Grundel, [[User:Himpe|C. Himpe]], J. Saak. "<span class="plainlinks">[https://doi.org/10.1002/pamm.201900006 On Empirical System Gramians]</span>". Proceedings in Applied Mathematics and Mechanics, 19: e201900006, 2019.
   
 
* [[User:Himpe|C. Himpe]]. "<span class="plainlinks">[https://doi.org/10.3390/a11070091 emgr - The Empirical Gramian Framework]</span>". Algorithms 11(7): 91, 2018.
 
* [[User:Himpe|C. Himpe]]. "<span class="plainlinks">[https://doi.org/10.3390/a11070091 emgr - The Empirical Gramian Framework]</span>". Algorithms 11(7): 91, 2018.
   
* [[User:Himpe|C. Himpe]], T. Leibner, S. Rave, J. Saak. "<span class="plainlinks">[https://doi.org/10.1002/pamm.201710388 Fast Low-Rank Empirical Cross Gramians]</span>". In: Proceedings in Applied Mathematics and Mechanics, vol. 17(1): 841--842, 2017.
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* [[User:Himpe|C. Himpe]], T. Leibner, S. Rave, J. Saak. "<span class="plainlinks">[https://doi.org/10.1002/pamm.201710388 Fast Low-Rank Empirical Cross Gramians]</span>". Proceedings in Applied Mathematics and Mechanics, 17: 841--842, 2017.
   
 
* [[User:Himpe|C. Himpe]]. "<span class="plainlinks">[https://doi.org/10.14626/9783868448818 Combined State and Parameter Reduction for Nonlinear Systems with an Application in Neuroscience]</span>". Westfälische Wilhelms Universität, Sierke Verlag Göttingen, 2017.
 
* [[User:Himpe|C. Himpe]]. "<span class="plainlinks">[https://doi.org/10.14626/9783868448818 Combined State and Parameter Reduction for Nonlinear Systems with an Application in Neuroscience]</span>". Westfälische Wilhelms Universität, Sierke Verlag Göttingen, 2017.
   
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1080/21642583.2016.1215273 A note on the cross Gramian for non-symmetric systems]</span>". System Science and Control Engineering 4(1): 199--208, 2016.
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* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1080/21642583.2016.1215273 A Note on the Cross Gramian for Non-Symmetric Systems]</span>". System Science and Control Engineering 4(1): 199--208, 2016.
   
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1016/j.ifacol.2015.05.163 The Empirical Cross Gramian for Parametrized Nonlinear Systems]</span>". Proceedings of the 8th Vienna International Conference on Mathematical Modelling 48(1): 727--728, 2015.
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* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1016/j.ifacol.2015.05.163 The Empirical Cross Gramian for Parametrized Nonlinear Systems]</span>". IFAC-PapersOnLine (8th Vienna International Conference on Mathematical Modelling), 48(1): 727--728, 2015.
   
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1109/ECC.2014.6862188 Model Reduction for Complex Hyperbolic Networks]</span>". Proceedings of the European Control Conference 2014: 2739--2743, 2014.
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* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1109/ECC.2014.6862188 Model Reduction for Complex Hyperbolic Networks]</span>". Proceedings of the European Control Conference: 2739--2743, 2014.
   
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1155/2014/843869 Cross-Gramian Based Combined State and Parameter Reduction for Large-Scale Control Systems]</span>". Mathematical Problems in Engineering, vol. 2014: 843869, 2014.
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* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1155/2014/843869 Cross-Gramian Based Combined State and Parameter Reduction for Large-Scale Control Systems]</span>". Mathematical Problems in Engineering, 2014: 843869, 2014.
   
 
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1155/2013/365909 A Unified Software Framework for Empirical Gramians]</span>". Journal of Mathematics 2013: 365909, 2013.
 
* [[User:Himpe|C. Himpe]], M. Ohlberger. "<span class="plainlinks">[https://doi.org/10.1155/2013/365909 A Unified Software Framework for Empirical Gramians]</span>". Journal of Mathematics 2013: 365909, 2013.

Revision as of 14:25, 21 November 2019


emgr box

Synopsis

emgr - Empirical Gramian Framework (Version 5.7). 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

Application matrix for the empirical gramian framework

emgr encompasses seven types of gramians:

emgr overview

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

Meta Information

Code Meta Data
name: Empirical Gramian Framework (emgr)
version: 5.7 (2019-02-26)
id: 10.5281/zenodo.2577980 (doi)
author: Christian Himpe (0000-0003-2194-6754)
topic: Science, Mathematics, Model Reduction
type: Toolbox
license: BSD-2-Clause (open-source)
repository: https://github.com/gramian/emgr (git)
language: Matlab
dependencies: Octave >=4.2, Matlab >=2016b
systems: Linux, Windows
website: https://gramian.de
keywords: Controllability, Observability, Cross Gramian, Model Reduction, Model Order Reduction

References

Links

  • Oberwolfach References on Mathematical Software: Entry

Contact

Christian Himpe