Computational Techniques for Structure Preserving Model Reduction of Constrain Dynamical Models

2020 ◽  
pp. 487-496
Author(s):  
M. Monir Uddin
Keyword(s):  
Model Reduction ◽  
Computational Techniques ◽  
Dynamical Models ◽  
Structure Preserving

Model reduction in power systems using a structure-preserving balanced truncation approach

2019 ◽  
Vol 177 ◽  
pp. 106002
Author(s):  
Johnny Leung ◽  
Michel Kinnaert ◽  
Jean-Claude Maun ◽  
Fortunato Villella
Keyword(s):  
Power Systems ◽  
Model Reduction ◽  
Balanced Truncation ◽  
Structure Preserving

scholarly journals Structure-preserving tangential interpolation for model reduction of port-Hamiltonian systems

Automatica ◽  
2012 ◽  
Vol 48 (9) ◽  
pp. 1963-1974 ◽  
Author(s):  
Serkan Gugercin ◽  
Rostyslav V. Polyuga ◽  
Christopher Beattie ◽  
Arjan van der Schaft
Keyword(s):  
Model Reduction ◽  
Hamiltonian Systems ◽  
Structure Preserving

scholarly journals On structure-preserving transformations of the Itō generator matrix for model reduction of quantum feedback networks

2012 ◽  
Vol 370 (1979) ◽  
pp. 5422-5436 ◽  
Author(s):  
Hendra I. Nurdin ◽  
John E. Gough
Keyword(s):  
Model Reduction ◽  
Degrees Of Freedom ◽  
Generator Matrix ◽  
Structure Preserving ◽  
Adiabatic Elimination ◽  
Quantum Feedback ◽  
Feedback Networks ◽  
Generator Matrices ◽  
Standard Operations ◽  
Internal Connections

Two standard operations of model reduction for quantum feedback networks, elimination of internal connections under the instantaneous feedback limit and adiabatic elimination of fast degrees of freedom, are cast as structure-preserving transformations of Itō generator matrices. It is shown that the order in which they are applied is inconsequential.

scholarly journals Structure-Preserving Model Reduction for Nonlinear Port-Hamiltonian Systems

2016 ◽  
Vol 38 (5) ◽  
pp. B837-B865 ◽  
Author(s):  
S. Chaturantabut ◽  
C. Beattie ◽  
S. Gugercin
Keyword(s):  
Model Reduction ◽  
Hamiltonian Systems ◽  
Structure Preserving
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