Creating Virtual Prototypes of Complex MEMS Transducers Using Reduced-Order Modelling Methods and VHDL-AMS

2006 ◽  
pp. 135-153 ◽  
Author(s):  
Torsten Mähne ◽  
Kersten Kehr ◽  
Axel Franke ◽  
Jörg Hauer ◽  
Bertram Schmidt
Keyword(s):  
Reduced Order ◽  
Reduced Order Modelling ◽  
Virtual Prototypes ◽  
Modelling Methods

scholarly journals Model reduction methods based on Krylov subspaces

Acta Numerica ◽  
2003 ◽  
Vol 12 ◽  
pp. 267-319 ◽  
Author(s):  
Roland W. Freund
Keyword(s):  
Large Scale ◽  
Krylov Subspace ◽  
Circuit Simulation ◽  
Krylov Subspaces ◽  
Lanczos Algorithm ◽  
Linear Dynamical Systems ◽  
Reduced Order ◽  
Reduced Order Modelling ◽  
Reduction Methods ◽  
Modelling Techniques

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

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