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 language | English |
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| Title of host publication | Proceedings of the IET Irish Signals & Systems Conference (ISSC 2006) |
| Pages | 389-394 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Jun 2006 |
| Event | IET Irish Signals and Systems Conference - Dublin Institute of Technology (DIT), Dublin, Ireland Duration: 01 Jun 2006 → 01 Jun 2006 |
Conference
| Conference | IET Irish Signals and Systems Conference |
|---|---|
| Country | Ireland |
| City | Dublin |
| Period | 01/06/2006 → 01/06/2006 |
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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