IDENTIFICATION AND OPTIMIZATION OF MULTIVARIABLE SYSTEMS USING CORRELATION TECHNIQUES,

Abstract

A mthod is described for the identification and optimization of multivariable systems by altering linear parameters to reduce a mean-square performance criterion. The change in each parameter is determined by an error gradient in parameter space computed by cross-correlation techniques which are independent of signal spectra. The application of this method to several multivariable system configurations is illustrated; the results of analog computer simulation are included to demonstrate the practicality of such systems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1963
Accession Number
AD0423282

Entities

People

  • Kumpati S. Narendra
  • Lyle E. Mcbride Jr.

Organizations

  • Harvard University

Tags

DTIC Thesaurus Topics

  • Analog Computers
  • Computational Science
  • Computer Simulations
  • Computers
  • Computing-Related Activities
  • Control Simulators
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Identification
  • Information Science
  • Mathematical Analysis
  • Optimization
  • Simulations
  • Simulators

Readers

  • Approximation Theory.
  • Control Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • Space