RESEARCH IN THE CONTROL OF COMPLEX SYSTEMS

Abstract

Contents: Markovian decision processes with uncertain transition probabilities or rewards; The transient solutions for 3-state discrete time Markov processes; Semi-Markovian control systems; Scheduling independent tasks on one or more processors; The use of the hypergeometric function as part of Bayesian estimation in a two state Markov process; Partially observable Markov processes; Dynamic inference; Markovian decision processes with uncertain transition probabilities; Dynamic behavior and control of communications networks; Perturbation theory and Markovian decision processes; A model for traffic flows on a two-lane two-way rural highway; The optimal burn-in testing of repairable equipment; A class of models for adaptive experimentation and control; Some mathematical models of inspection along a production line.

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Document Details

Document Type
Technical Report
Publication Date
May 31, 1967
Accession Number
AD0700763

Entities

People

  • Alvin W. Drake

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Complex Systems
  • Computer Programming
  • Computer Programs
  • Control Systems
  • Dynamic Programming
  • Electrical Engineering
  • Engineering
  • Markov Processes
  • Mathematical Models
  • Operations Research
  • Perturbation Theory
  • Probability
  • Probability Distributions
  • Random Variables
  • Steady State

Readers

  • Mathematical Modeling and Probability Theory.
  • Parallel and Distributed Computing.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms