Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135811
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Type: Journal article
Title: RAP-modulated fluid processes: First passages and the stationary distribution
Author: Bean, N.G.
Nguyen, G.T.
Nielsen, B.F.
Peralta, O.
Citation: Stochastic Processes and their Applications, 2022; 149:308-340
Publisher: Elsevier BV
Issue Date: 2022
ISSN: 0304-4149
1879-209X
Statement of
Responsibility: 
Nigel G. Beana, Giang T. Nguyen, Bo F. Nielsen, Oscar Peralta
Abstract: We construct a stochastic fluid process with an underlying piecewise deterministic Markov process (PDMP) akin to the one used in the construction of the rational arrival process (RAP) in Asmussen and Bladt (1999) which we call the RAP-modulated fluid process. As opposed to the classic Markov-modulated fluid process driven by a Markov jump process, the underlying PDMP of a RAP-modulated fluid process has a continuous state space and is driven by matrix parameters which may not be related to an intensity matrix. Through novel techniques we show how well-known formulae associated to the Markov-modulated fluid process, such as first passage probabilities and the stationary distribution of its queue, translate to its RAP-modulated counterpart.
Keywords: Stochastic fluid process; Rational arrival process; Matrix-exponential distribution; First passage probability; Stationary distribution
Rights: © 2022 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.spa.2022.03.013
Grant ID: http://purl.org/au-research/grants/arc/DP180103106
Published version: http://dx.doi.org/10.1016/j.spa.2022.03.013
Appears in Collections:Mathematical Sciences publications

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