Intelligent Control Systems Research.

Abstract

Results of a three phase research program into intelligent control systems are presented. The first phase looked at implementing the lowest or direct level of a hierarchical control scheme using a reinforcement learning approach assuming no a priori information about the system under control. The second phase involved the design of an adaptive optimizing level of the hierarchy and its interaction with the direct control level. The third and final phase of the research was aimed at combining the results of the previous phases with some a priori information about the controlled system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA290180

Entities

People

  • Kenneth A. Loparo

Organizations

  • Case Western Reserve University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Automata Theory
  • Classification
  • Closed Loop Systems
  • Computational Science
  • Computer Programs
  • Control Systems
  • Hierarchies
  • Learning
  • Neural Networks
  • Nonlinear Systems
  • Reinforcement Learning
  • Simulations
  • Systems Engineering
  • Two Dimensional

Readers

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  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems