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 language | English |
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Pages (from-to) | 739-766 |
Number of pages | 28 |
Journal | Mathematics of Operations Research |
Volume | 44 |
Issue number | 2 |
DOIs | |
State | Published - 1 Jan 2019 |
Externally published | Yes |
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