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dc.contributor.authorGuiver, C
dc.contributor.authorHodgson, D
dc.contributor.authorTownley, S
dc.date.accessioned2016-08-30T09:27:10Z
dc.date.issued2016-11-16
dc.description.abstractA result is presented describing the eigenvectors of a perturbed matrix, for a class of structured perturbations. One motivation for doing so is that positive eigenvectors of nonnegative, irreducible matrices are known to induce norms — acting much like Lyapunov functions — for linear positive systems, which may help estimate or control transient dynamics. The results apply to both discrete- and continuous-time linear positive systems. The theory is illustrated with several examples.en_GB
dc.description.sponsorshipThe present research was supported by EPSRC grant EP/I019456/1.en_GB
dc.identifier.citationVol. 509, pp. 143 - 167en_GB
dc.identifier.doi10.1016/j.laa.2016.07.010
dc.identifier.urihttp://hdl.handle.net/10871/23206
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectPerturbation theoryen_GB
dc.subjectStability radiusen_GB
dc.subjectLinear positive systemsen_GB
dc.subjectTransient dynamicsen_GB
dc.subjectLyapunov functionen_GB
dc.titleA note on the eigenvectors of perturbed matrices with applications to linear positive systemsen_GB
dc.typeArticle
dc.date.available2016-08-30T09:27:10Z
dc.identifier.issn0024-3795
dc.descriptionThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.en_GB
dc.identifier.journalLinear Algebra and Its Applicationsen_GB


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