AN ADAPTIVE TECHNIQUE FOR ON-LINE STEADYSTATE OPTIMIZING CONTROL.

Abstract

An adaptive technique is developed for on-line steadystate optimizing control. The technique uses an approximate on-line control algorithm with adjustable parameters which are adapted to maximize expected system performance. The technique is applicable to the general multivariable nonlinear system. Convergence conditions for the adaptation technique are derived. Statistical techniques are applied to the problem of predicting the statistics of the system disturbance inputs which are generally nonstationary. Two approximate methods of implementing this technique are developed to ease the computational burden. The factors involved in designing a control system using this technique are discussed from the point of view of trying to maximize an overall system profit function; the function includes the cost of control.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1965
Accession Number
AD0624157

Entities

People

  • James H. Burghart

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Control Systems
  • Convergence
  • Data Science
  • Information Science
  • Nonlinear Systems
  • Statistics

Readers

  • Control Systems Engineering.
  • Systems Analysis and Design