Asymptotic lower bounds for optimal tracking: A linear programming approach

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Abstract

We consider the problem of tracking a target whose dynamics is modeled by a continuous Itô semi-martingale. The aim is to minimize both deviation from the target and tracking efforts. We establish the existence of asymptotic lower bounds for this problem, depending on the cost structure. These lower bounds can be related to the time-average control of Brownian motion, which is characterized as a deterministic linear programming problem. A comprehensive list of examples with explicit expressions for the lower bounds is provided.

Original languageEnglish
Pages (from-to)2455-2514
Number of pages60
JournalAnnals of Applied Probability
Volume27
Issue number4
DOIs
Publication statusPublished - 1 Aug 2017
Externally publishedYes

Keywords

  • Asymptotic lower bound
  • Impulse control
  • Linear programming
  • Occupation measure
  • Optimal tracking
  • Regular control
  • Singular control

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