A Finite-State, Finite-Memory Minimum Principle: Part II.,

Abstract

In part 1 of this paper, a minimum principle was found for the finite-state, finite-memory (FSFM) stochastic control problem. In part 2, conditions for the sufficiency of the minimum principle are stated in terms of the informational properties of the problem. This is accomplished by introducing the notion of a signaling strategy. Then a min-H algorithm based on the FSFM minimum principle is presented. This algorithm converges, after a finite number of steps, to a person - by - person extremal solution.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1975
Accession Number
ADA010496

Entities

People

  • Michael Athans
  • Nils R. Sandell Jr.

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Mathematics
  • Stochastic Control

Readers

  • Mathematical Modeling and Probability Theory.
  • Theoretical Analysis.