STABLE REDUCED ORDER MODELLING OF LARGE SCALE SYSTEMS USING PRESCRIBED POLES

2005 ◽  
Vol 38 (1) ◽  
pp. 620-625
Author(s):  
Behnam Salimbahrami ◽  
Boris Lohmann
Keyword(s):  
Large Scale ◽  
Large Scale Systems ◽  
Reduced Order ◽  
Reduced Order Modelling

Generalized Hessenberg transformations for reduced-order modelling of large-scale systems†

1978 ◽  
Vol 27 (4) ◽  
pp. 493-512 ◽  
Author(s):  
EDWIN C. Y. TSE ◽  
JURAJ V. MEDANIC ◽  
WILLIAM R. PERKINS
Keyword(s):  
Large Scale ◽  
Large Scale Systems ◽  
Reduced Order ◽  
Reduced Order Modelling

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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