POD Model Order Reduction of Electrical Networks with Semiconductors Modeled by the Transient Drift–Diffusion Equations

2012 ◽  
pp. 161-168 ◽  
Author(s):  
Michael Hinze ◽  
Martin Kunkel ◽  
Ulrich Matthes
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Diffusion Equations ◽  
Electrical Networks ◽  
Drift Diffusion ◽  
Model Order

scholarly journals Transformation of passive electrical networks with distributed PWL-sources using a Model Order Reduction

2009 ◽  
Vol 7 ◽  
pp. 113-118
Author(s):  
S. Ludwig ◽  
W. Mathis
Keyword(s):  
Model Reduction ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Linear Functions ◽  
Electrical Networks ◽  
Model Order ◽  
Reduction Techniques ◽  
Efficient Reduction ◽  
Weak Reduction ◽  
High Effort

Abstract. In modeling of distributed systems with distributed sources large networks with RLC-elements and independent sources arise. This high complexity leads to a high effort in simulations. Therefore model reduction can be used to reduce these networks, preserving the behavior at the observed nodes in the networks. For the reduction of networks with a large number of independent sources only a weak reduction is enabled with standard model reduction techniques. In this paper an efficient reduction of networks with a large number of sources with piece-wise-linear waveforms is presented, using the decomposition of piece-wise-linear functions. With the proposed method a higher reduction of the network and/or a higher accuracy can be achieved with model reduction. The validity and efficiency of the proposed method is shown by reducing a RCI-Grid model.

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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