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  5. Participation Factors for Singular Systems of Differential Equations
 
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Participation Factors for Singular Systems of Differential Equations

Author(s)
Dassios, Ioannis K.  
Tzounas, Georgios  
Milano, Federico  
Uri
http://hdl.handle.net/10197/25785
Date Issued
2020-01
Date Available
2024-04-25T15:36:59Z
Abstract
In this article, we provide a method to measure the participation of system eigenvalues in system states, and vice versa, for a class of singular linear systems of differential equations. This method deals with eigenvalue multiplicities and covers all cases by taking into account both the algebraic and geometric multiplicity of the eigenvalues of the system matrix pencil. A Möbius transform is applied to determine the relative contributions associated with the infinite eigenvalue that appears because of the singularity of the system. The paper is a generalization of the conventional participation analysis, which provides a measure for the coupling between the states and the eigenvalues of systems of ordinary differential equations with distinct eigenvalues. Numerical examples are given including a classical DC circuit and a 2-bus power system dynamic model.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Access provided by IREL Consortium c/o Maynooth University The Library Maynooth University
Type of Material
Journal Article
Publisher
Springer
Journal
Circuits, Systems, and Signal Processing
Volume
39
Issue
1
Start Page
83
End Page
110
Copyright (Published Version)
2019 Springer
Subjects

Participation factor

Singularity

Dynamical system

Möbius transform

Differential equation...

DOI
10.1007/s00034-019-01183-1
Language
English
Status of Item
Peer reviewed
ISSN
0278-081X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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pfactors_singular.pdf

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353.63 KB

Format

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Checksum (MD5)

c7122b25d7a229bdc34a400b43ad6942

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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