m (Added reference.) |
m (Adapted to version 4.0.) |
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[http://www.mpi-magdeburg.mpg.de/projects/morlab MORLAB], the '''M'''odel '''O'''rder '''R'''eduction '''LAB'''oratory toolbox, is a collection of [https://de.mathworks.com/products/matlab.html MATLAB] and [https://www.gnu.org/software/octave/ Octave] routines for model order reduction of dense linear time-invariant continuous-time systems. |
[http://www.mpi-magdeburg.mpg.de/projects/morlab MORLAB], the '''M'''odel '''O'''rder '''R'''eduction '''LAB'''oratory toolbox, is a collection of [https://de.mathworks.com/products/matlab.html MATLAB] and [https://www.gnu.org/software/octave/ Octave] routines for model order reduction of dense linear time-invariant continuous-time systems. |
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| − | The toolbox contains model reduction methods for standard and |
+ | The toolbox contains model reduction methods for standard, descriptor and second-order systems based on the solution of matrix equations. |
Therefore, also spectral projection based methods for the solution of the corresponding matrix equations are included. |
Therefore, also spectral projection based methods for the solution of the corresponding matrix equations are included. |
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== Features == |
== Features == |
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| − | The following main features are provided in the latest release of the software (version ''' |
+ | The following main features are provided in the latest release of the software (version '''4.0'''): |
'''Model reduction methods:''' |
'''Model reduction methods:''' |
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* Modal truncation method ([[Modal truncation|MT]]) |
* Modal truncation method ([[Modal truncation|MT]]) |
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| − | * Balancing related methods ([[Balanced Truncation|BT]], BST, LQGBT, PRBT, BRBT, |
+ | * Balancing related methods ([[Balanced Truncation|BT]], FLBT, BST, LQGBT, PRBT, BRBT, HINFBT, TLBT) |
* Hankel-norm approximation method ([[Hankel-Norm Approximation|HNA]]) |
* Hankel-norm approximation method ([[Hankel-Norm Approximation|HNA]]) |
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'''Matrix equation solvers:''' |
'''Matrix equation solvers:''' |
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| − | * Matrix sign function based solvers for continuous-time Lyapunov, Sylvester and |
+ | * Matrix sign function based solvers for continuous-time algebraic Lyapunov, Sylvester, Bernoulli and Riccati equations |
| − | * Newton-Kleinman type solvers for |
+ | * Newton-Kleinman type solvers for continuous-time algebraic Riccati equations with a negative quadratic term |
| − | * Newton type solvers for continuous-time algebraic Riccati |
+ | * Newton type solvers for continuous-time algebraic Riccati equations with a positive quadratic term |
| + | * Riccati iteration based solver for continuous-time algebraic Riccati equations with an indefinite quadratic term |
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'''Further methods:''' |
'''Further methods:''' |
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== Links == |
== Links == |
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| − | * Official website: https://www.mpi-magdeburg.mpg.de/projects/morlab |
+ | * Official project website: https://www.mpi-magdeburg.mpg.de/projects/morlab |
| − | * Latest upload on Zenodo: https://zenodo.org/record/ |
+ | * Latest upload on Zenodo: https://zenodo.org/record/1574083 |
== Contact == |
== Contact == |
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Revision as of 14:01, 6 December 2018
MORLAB, the Model Order Reduction LABoratory toolbox, is a collection of MATLAB and Octave routines for model order reduction of dense linear time-invariant continuous-time systems. The toolbox contains model reduction methods for standard, descriptor and second-order systems based on the solution of matrix equations. Therefore, also spectral projection based methods for the solution of the corresponding matrix equations are included.
Features
The following main features are provided in the latest release of the software (version 4.0):
Model reduction methods:
- Modal truncation method (MT)
- Balancing related methods (BT, FLBT, BST, LQGBT, PRBT, BRBT, HINFBT, TLBT)
- Hankel-norm approximation method (HNA)
Matrix equation solvers:
- Matrix sign function based solvers for continuous-time algebraic Lyapunov, Sylvester, Bernoulli and Riccati equations
- Newton-Kleinman type solvers for continuous-time algebraic Riccati equations with a negative quadratic term
- Newton type solvers for continuous-time algebraic Riccati equations with a positive quadratic term
- Riccati iteration based solver for continuous-time algebraic Riccati equations with an indefinite quadratic term
Further methods:
- Routines for the additive decomposition of transfer functions of linear systems
- Partial stabilization of linear systems
- Newton iteration to compute the matrix sign function
- Inverse-free iteration to compute the right matrix pencil disk function
References
- P. Benner, S. W. R. Werner, Model reduction of descriptor systems with the MORLAB toolbox, IFAC-PapersOnLine 9th Vienna International Conference on Mathematical Modelling MATHMOD 2018, Vienna, Austria, 21--23 February 2018 51 (2) (2018) 547--552.
- P. Benner, S. W. R. Werner, MORLAB - Modellreduktion in MATLAB, in: T. Meurer, F. Woittennek (Eds.), Tagungsband GMA-FA 1.30 ’Modellierung, Identifikation und Simulation in der Automatisierungstechnik’ und GMA-FA 1.40 ’Theoretische Verfahren der Regelungstechnik’, Workshop in Anif, Salzburg, 18.-22.09.2017, 2017, pp. 508--517.
- P. Benner, A MATLAB repository for model reduction based on spectral projection, in: 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006, pp. 19--24.
- P. Benner, E. S. Quintana-Ortı́, Model reduction based on spectral projection methods, in: P. Benner, V. Mehrmann, D. Sorensen (Eds.), Dimension Reduction of Large-Scale Systems, Vol. 45 of Lect. Notes Comput. Sci. Eng., Springer, Berlin/Heidelberg, Germany, 2005, pp. 5--45.
Links
- Official project website: https://www.mpi-magdeburg.mpg.de/projects/morlab
- Latest upload on Zenodo: https://zenodo.org/record/1574083