Stochastic Differential Games with Complexity Constrained Strategies.

Abstract

An examination is made of some problems encountered in the optimal control of a linear dynamic system by two independent controllers with noisy state observations, the controllers having either conflicting or concurring objectives. The question of what form the optimal controls should take is also discussed. By restricting consideration to linear forms, it is shown that the computational complexity of a general optimal linear strategy is considerable. Attention is further restricted to a particular linear form for the optimal controls: a matrix transformation of a vector which is the solution of a linear differential equation forced by the observations. Properties of certain forms of this type of control are analyzed, and it is shown that the parameters of these forms may be expressed in terms of solutions to a set of nonlinear differential equations with split boundary conditions. It is also demonstrated that these forms reduce, in a one-input case, to those specified by the separation principle of one-sided optimal control. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA124627

Entities

People

  • Donald Macdonald Stuart Jr

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Ballistic Missiles
  • California
  • Computational Complexity
  • Computational Science
  • Difference Equations
  • Differential Equations
  • Engineering
  • Equations
  • Estimators
  • Linear Differential Equations
  • Mathematical Filters
  • Mathematical Models
  • Nonlinear Differential Equations
  • Probability Distributions
  • Random Variables
  • Schools
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Game Theory.