Hierarchical Hybrid Control of Manipulators: Artificial Intelligence in Large Scale Integrated Circuits.

Abstract

A system that must regulate many variables cannot have individual recipes for responding to each possible combination of variables. Both in practical engineering and in control of muscular systems, low-level subsystems automatically provide crude approximations to the proper response. Through low-level tuning of these approximations, the proper response variant can emerge from standardized high-level commands. Such systems are expressly suited to emerging large-scale integrated circuit technology. The authors have formulated mathematical theory that reveals significant informational units in this style of control, and are developing software for realizing such information structures. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1972
Accession Number
AD0754676

Entities

People

  • Peter H. Greene

Organizations

  • University of Chicago

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Circuit Analysis
  • Circuits
  • Control
  • Electrical Engineering
  • Engineering
  • Integrated Circuits
  • Large Scale Integrated Circuits
  • Manipulators

Readers

  • Integrated Circuit Design and Technology.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy