Black box model and singular value based model order reduction for interconnects

2007 ◽  
Author(s):  
C. Wiegand ◽  
Lj. Radic-Weissenfeld ◽  
C. Hedayat ◽  
W. John
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Black Box ◽  
Singular Value ◽  
Box Model ◽  
Model Order

scholarly journals A Black-Box method for parametric model order reduction based on matrix interpolation with application to simulation and control

2016 ◽  
Vol 64 (9) ◽  
Author(s):  
Matthias Geuß
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Black Box ◽  
Design Parameters ◽  
Dimensional Parameter ◽  
Model Order ◽  
Parametric Model Order Reduction ◽  
Box Method ◽  
Matrix Interpolation ◽  
And Control

AbstractThis thesis deals with model order reduction of parameter-dependent systems based on interpolation of locally reduced system matrices. A Black-Box method is proposed that automatically determines the optimal design parameters and delivers a reduced system with desired accuracy. In addition, the method is extended to stability preservation and interpolation for high-dimensional parameter spaces.

scholarly journals A Black-Box Method for Parametric Model Order Reduction

2015 ◽  
Vol 48 (1) ◽  
pp. 168-169 ◽  
Author(s):  
M. Geuss ◽  
B. Lohmann ◽  
B. Peherstorfer ◽  
K. Willcox
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Parametric Model ◽  
Black Box ◽  
Model Order ◽  
Parametric Model Order Reduction ◽  
Box Method

THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

2019 ◽  
Author(s):  
Vladimir Lantsov ◽  
A. Papulina
Keyword(s):  
Harmonic Balance ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Balance Equations ◽  
Model Order ◽  
Cad Systems ◽  
Computational Costs ◽  
Reduction Methods ◽  
Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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