A Wavelet Approach to the Selective Computation of Domninant Eigenvalues

D. McIlhagger, Timothy Littler, G.W. Irwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces an algorithm that calculates the dominant eigenvalues (in terms of system stability) of a linear model and neglects the exact computation of the non-dominant eigenvalues. The method estimates all of the eigenvalues using wavelet based compression techniques. These estimates are used to find a suitable invariant subspace such that projection by this subspace will provide one containing the eigenvalues of interest. The proposed algorithm is exemplified by application to a power system model.
Original languageEnglish
Title of host publicationProceedings of the IET Irish Signals & Systems Conference (ISSC 2006)
Pages389-394
Number of pages6
DOIs
Publication statusPublished - Jun 2006
EventIET Irish Signals and Systems Conference - Dublin Institute of Technology (DIT), Dublin, Ireland
Duration: 01 Jun 200601 Jun 2006

Conference

ConferenceIET Irish Signals and Systems Conference
CountryIreland
CityDublin
Period01/06/200601/06/2006

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  • Cite this

    McIlhagger, D., Littler, T., & Irwin, G. W. (2006). A Wavelet Approach to the Selective Computation of Domninant Eigenvalues. In Proceedings of the IET Irish Signals & Systems Conference (ISSC 2006) (pp. 389-394) https://doi.org/10.1049/cp:20060468