Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/78345
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dc.contributor.authorBean, N.-
dc.contributor.authorO'Reilly, M.-
dc.date.issued2013-
dc.identifier.citationStochastic Models, 2013; 29(1):31-63-
dc.identifier.issn1532-6349-
dc.identifier.issn1532-4214-
dc.identifier.urihttp://hdl.handle.net/2440/78345-
dc.description.abstractWe introduce a Stochastic Two-Dimensional Fluid Model that consists of two stochastic fluid flows driven by the same underlying Markov chain, where one of the fluids is unconstrained. We develop the theoretical and numerical framework for the transient analysis of the model. We derive the important generator matrix of a particular Laplace-Stieltjes transform of the model, which is the foundation of our analysis. We use it to develop expressions for the Laplace-Stieltjes transforms of various performance measures for the transient analysis of the model and construct powerful algorithms for their numerical evaluation. An example of an application in a queueing environment is given.-
dc.description.statementofresponsibilityNigel G. Bean and Małgorzata M. O’Reilly-
dc.language.isoen-
dc.publisherTaylor & Francis Inc.-
dc.rights© Taylor & Francis Group, LLC-
dc.source.urihttp://dx.doi.org/10.1080/15326349.2013.750532-
dc.subjectCoupled model-
dc.subjectMarkov chain-
dc.subjectRiccati equation-
dc.subjectStochastic fluid model-
dc.titleA stochastic two-dimensional fluid model-
dc.typeJournal article-
dc.identifier.doi10.1080/15326349.2013.750532-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP110101663-
pubs.publication-statusPublished-
dc.identifier.orcidBean, N. [0000-0002-5351-3104]-
Appears in Collections:Aurora harvest
Environment Institute publications
Mathematical Sciences publications

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