Stochastic Adaptive Estimation and Control.

Abstract

Significant progress was made in a number of aspects of stochastic and discrete event systems. A controlled switching diffusion model was developed to study systems with multiple modes or failure modes, such as aircraft with multiple operating modes, the hierarchical control of flexible manufacturing systems, and large scale interconnected power networks. In addition, a number of other optimal stochastic control problems with long time borizans were solved. An important problem in the adaptive control of a finite state Markov chain was solved, and significant progress was made along more general directions. New results on the risk-sensitive control of hidden Markov processes were obtained. Motivated by applications in hierarchical intelligent control, some important roblems in the area of discrete event systems were solved.

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Document Details

Document Type
Technical Report
Publication Date
Oct 26, 1994
Accession Number
ADA289088

Entities

People

  • Steven I Marcus

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Control Systems
  • Diffusion
  • Electrical Engineering
  • Engineering
  • Failure Mode And Effect Analysis
  • Hidden Markov Models
  • Information Science
  • Language
  • Manufacturing
  • Markov Chains
  • Markov Models
  • Markov Processes
  • Neural Networks
  • New York
  • Stochastic Control
  • Switching

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Mathematical Modeling and Probability Theory.