A Combined Correlation Function - Linear Regression Approach to System Identification.

Abstract

The work presented in this dissertation is concerned with the problem of identifying the parameters describing a dynamic process based on an imput-output record of the process. The identification technique is used to approximate the parameters of a pulse transfer function and is structured for use in a sampled-data environment. System identification is not ordinarily an end in itself, but is rather a means of approaching an overall problem. The identification approach subsequently described is designed for use in an adaptive control configuration. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1971
Accession Number
AD0739525

Entities

People

  • J. Brian Froisy

Organizations

  • Louisiana State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biological Phenomena
  • Environment
  • Identification
  • Theses
  • Transfer Functions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.