1971
DOI: 10.1007/bf00536759
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A stochastic integral in storage theory

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Cited by 69 publications
(37 citation statements)
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“…Piecewise deterministic paths can be observed for Markov processes in a variety of applications. We mention risk process ( [1,48,19,20,25]), growth collapse and stress release models ( [9,53,58,12,41]), queueing models ( [14,11]), earthquake models ( [46]), repairable systems ( [38]), storage models ( [15,27,28]) and TCP data transmission ( [39,40,24]). The mathematical framework that is used in this paper was introduced by Davis [22,21].…”
Section: Introductionmentioning
confidence: 99%
“…Piecewise deterministic paths can be observed for Markov processes in a variety of applications. We mention risk process ( [1,48,19,20,25]), growth collapse and stress release models ( [9,53,58,12,41]), queueing models ( [14,11]), earthquake models ( [46]), repairable systems ( [38]), storage models ( [15,27,28]) and TCP data transmission ( [39,40,24]). The mathematical framework that is used in this paper was introduced by Davis [22,21].…”
Section: Introductionmentioning
confidence: 99%
“…See also Yamada [32] and Ishii and Yamada [I81 for a treatment of systems of second order partial differential equations with bilateral obstacles from the viewpoint of viscosity solutions. P D processes have been studied from several viewpoints such as queueing processes in Rosenkrantz [28], storage processes in Cinlar and Pinsky [3], Gnedenko and Kovalenko [13], Harrison and Resnick [15], and renewal processes in Cox [6]. For other control problems involving P D processes see Davis [22,23] and Gatarek [12].…”
Section: Introductionmentioning
confidence: 99%
“…which can be obtained by similar methods as those used in the Appendix to derive (5). Next, we take the limit…”
Section: Variable Qmentioning
confidence: 99%
“…the rate at which the buffer is depleted) is constant, see [14]. Early extensions of this storage process are considered in [5,9], and references therein, in which the release rate is state-dependent; in fact it is a strictly positive piecewise continuous function of the current buffer content. Another paper worth mentioning in this context is [3], where not only the release rate, but also the arrival rate of customers is state-dependent.…”
Section: Introductionmentioning
confidence: 99%