Artificial Intelligence Theory and Reconfigurable Control Systems.

Abstract

A program for the analytic and experimental investigation of reconfigurable control systems is described. Its principal objectives are to extend the theory of artificial intelligence and to develop practical methods of applying artificial intelligence heuristics, statistical hypothesis testing, and modern control theory to the reconfiguration of control systems following sensor failures, actuator failures, power supply or transmission failures, or unforeseen changes in dynamic characteristics. Objectives include the definition of typical failure modes and effects; formulation and investigation of algorithms for detection, identification, estimation, and control; numerical simulation of failure and reconfiguration; and experimentation using a microprocessor-based reconfigurable control system. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1984
Accession Number
ADA143766

Entities

People

  • R. F. Stengel

Organizations

  • Princeton University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Detection
  • Engineering
  • Estimators
  • Expert Systems
  • Failure Mode And Effect Analysis
  • Identification
  • Operations Research
  • Pattern Recognition
  • Power Supplies

Fields of Study

  • Physics

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Integrated Circuit Design and Technology.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms