ANALYSIS AND SYNTHESIS OF SELF ADJUSTING SYSTEMS USING CORRELATION TECHNIQUES.

Abstract

An analytical study was made of a class of Self-Adjusting Systems, using correlation techniques, with the ultimate objective of synthesizing an adaptive controller for on-line control of dynamical systems. Work was carried out in the following five areas: Comparison of different methods for generating the gradient of a performance index with respect to the adjustable parameters of the system; The study of parameter perturbation methods and the possibility of using a single perturbation signal for generating the entire gradient in parameter space; Study of two time scales and multiple time scales in 'Adaptive' systems caused by slow changes in the environment; Computer simulation of on-line adaptive control systems; A preliminary investigation of stochastic automata theory for use in adaptive control.

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1969
Accession Number
AD0690938

Entities

People

  • Kumpati S. Narendra

Organizations

  • Yale University

Tags

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Automata
  • Automata Theory
  • Computational Science
  • Computer Simulations
  • Computers
  • Control Systems
  • Correlation Techniques
  • Environment
  • Mathematical Analysis
  • Perturbations
  • Simulations
  • Simulators

Fields of Study

  • Engineering
  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers