2008
DOI: 10.1002/cta.535
|View full text |Cite
|
Sign up to set email alerts
|

Efficient dominant eigensystem computation using nodal equations

Abstract: In this paper, alternative methods are developed for computing the smallest, the largest and a given subset of the largest eigenvalues associated with linear time-invariant circuits. The proposed methods resort to the solution of DC or AC adjoint circuits, for which conventional nodal analysis can be adopted. Experimental results obtained with test cases comprising over 500 state variables show substantial computational savings with respect to standard algorithms, based on the system matrix A arising in the st… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2010
2010
2012
2012

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 16 publications
0
4
0
Order By: Relevance
“…There are multiple methods to obtain certain sets of eigenvalues, such as the method in [15] to obtain a dominant eigenvalue based on the nodal equations. However, if all eigenvalues are required it is more appropriate to use a method based on matrix transformations, like the classic one explained in Appendix A.…”
Section: Eigensystem-based Solutionmentioning
confidence: 99%
See 2 more Smart Citations
“…There are multiple methods to obtain certain sets of eigenvalues, such as the method in [15] to obtain a dominant eigenvalue based on the nodal equations. However, if all eigenvalues are required it is more appropriate to use a method based on matrix transformations, like the classic one explained in Appendix A.…”
Section: Eigensystem-based Solutionmentioning
confidence: 99%
“…• Solving the Vandermonde system (15). In order to obtain all the state variables, the most efficient method is to use LU factorization.…”
Section: Vandermonde Matrixmentioning
confidence: 99%
See 1 more Smart Citation
“…It allows circuit equations to be easily and systematically obtained without any limitation. This method is used for circuit synthesis of passive descriptor systems in [12] and for computing the smallest, the largest and a given subset of the largest eigenvalues associated with linear time-invariant circuits in [13].…”
Section: Introductionmentioning
confidence: 99%