Some Problems in the Optimal Control of Diffusions.

Abstract

We consider a class of problems in the optimal control of one-dimensional diffusion processes, with the objective to minimize expected discounted cost over an infinite planning horizon. There are available a finite number of control modes (actions), and the state of the system changes locally like a Brownian Motion whose drift and variance depend upon the control mode being employed (but not upon the current state). There is a holding cost which is proportional to the state of the system and is independent of the control mode. In addition to these continuous costs, there are lump costs associated with a change in action. The state space may be either a finite or semi-infinite interval, and different types of boundary behavior are considered. Absorbing barriers arise in applications to collective risk and insurance, while reflecting barriers are natural for problems in the optimal control of queueing and storage systems. When there are only two control modes, one expects an optimal policy characterized by a pair of critical numbers. For various special cases, it is shown that such an optimal policy exists, and (complicated) formulas for the critical numbers are derived. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA065174

Entities

People

  • Diane Sheng

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Applied Mathematics
  • Brownian Motion
  • Differential Equations
  • Diffusion
  • Discontinuities
  • Equations
  • Integral Equations
  • Markov Processes
  • Mathematical Analysis
  • New York
  • Operations Research
  • Probability
  • Random Variables
  • Stochastic Control
  • Stochastic Processes
  • Theorems
  • United States

Fields of Study

  • Mathematics

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  • Government Contracting/Procurement.
  • Mathematical Modeling and Probability Theory.
  • Robotics and Automation.

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  • Space
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