Instantaneous Control of Brownian Motion.

Abstract

A controller continuously monitors a storage system, such as an inventory or bank account, whose content Z = Z sub t, t > or = 0) fluctuates as a (micro, sigma squared) Brownian motion in the absence of control. Holding costs are incurred continuously at rate h(Z sub t). At any time, the controller may instantaneously increase the content of the system, incurring a proporitional cost of r times the size of the increase, or decrease the content at a cost of L times the size of the decrease. We consider the case where h is convex on a finite interval (alpha, beta) and h = infinity outside this interval. The objective is to minimize the expected discounted sum of holding costs and control costs over an infinite planning horizon. It is shown that there exists an optimal control limit policy, characterized by two parameters a and b (a < or = a < b < or = b). Roughly speaking, this policy exerts the minimum amounts of control sufficient to keep Z sub T epsilon (a,b) for all t > or = 0. Put another way, the optimal control limit policy imposes on Z a lower reflecting barrier at a and an upper reflecting barrier at b. We do not give a full-blown algorithm for construction of the optimal control limits, but a computational scheme could easily be developed from our constructive proof of existence. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1981
Accession Number
ADA109809

Entities

People

  • J. Michael Harrison
  • Michael I. Taksar

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Brownian Motion
  • Classification
  • Construction
  • Differential Equations
  • Diffusion
  • Equations
  • Inequalities
  • Integrals
  • Intervals
  • Inventory
  • Numbers
  • Operations Research
  • Probability
  • Production
  • Production Control
  • Stochastic Control
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Analytical Mechanics
  • Operations Research