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dc.contributor.authorCavalcanti, Joao
dc.contributor.authorBalakrishnan, Hamsa
dc.date.accessioned2021-10-27T20:36:02Z
dc.date.available2021-10-27T20:36:02Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136569
dc.description.abstract© 2019 Elsevier Ltd This paper investigates stability of Positive Markov Jump Linear Systems (PMJLSs) in the absence of a numerical realization. It considers the situation when only signs (and not magnitudes) of the entries of the subsystem matrices and the Markov transition matrices are known. The result is an analysis of a qualitative notion of stability known as sign-stability. Although the notions of sign-stability of PMJLSs are natural extensions of standard stochastic stability concepts such as exponential almost sure, mean and mean-square stability, the sign-stability notions are proven equivalent, which is not the case for their corresponding standard concepts. Moreover, for irreducible Markov chains, the particular structure of the Markov chain is shown to have no bearing on sign-stability.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.AUTOMATICA.2019.108638
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceMIT web domain
dc.titleSign-stability of Positive Markov Jump Linear Systems
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.relation.journalAutomatica
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-04-07T16:13:04Z
dspace.orderedauthorsCavalcanti, J; Balakrishnan, H
dspace.date.submission2021-04-07T16:13:05Z
mit.journal.volume111
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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