Brownian control problems for a multiclass M/M/1 queueing problem with model uncertainty

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9 Scopus citations

Abstract

We consider a multidimentional Brownian control problem (BCP) with model uncertainty that formally emerges from a multiclass M/M/1 queueing control problem under heavy traffic with model uncertainty. The BCP is formulated as a multidimensional stochastic differential game with two players: a minimizer who has an equivalent role to the decision maker in the queueing control problem and a maximizer whose role is to set up the uncertainty of the model. The dynamics are driven by a Brownian motion. We show that a state-space collapse properly holds. That is, the multidimensional BCP can be reduced to a one-dimensional BCP with model uncertainty that also takes the form of a two-player stochastic differential game. Then, the value function of both games is characterized as the unique solution to a free-boundary problem from which we extract equilibria for both games. Finally, we analyze the dependence of the value function and the equilibria on the ambiguity parameters.

Original languageEnglish
Pages (from-to)739-766
Number of pages28
JournalMathematics of Operations Research
Volume44
Issue number2
DOIs
StatePublished - 1 Jan 2019
Externally publishedYes

Keywords

  • Ambiguity aversion
  • Brownian control problem
  • Heavy traffic
  • Model uncertainty
  • Multiclass M/M/1
  • The Harrison–Taksar free-boundary problem

ASJC Scopus subject areas

  • General Mathematics
  • Computer Science Applications
  • Management Science and Operations Research

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