Accession Number : AD0739525

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

Descriptive Note : Doctoral thesis,

Corporate Author : LOUISIANA STATE UNIV BATON ROUGE DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : Froisy,J. Brian

Report Date : DEC 1971

Pagination or Media Count : 178

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)

Descriptors :   (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), (*CHEMICAL ENGINEERING, ADAPTIVE CONTROL SYSTEMS), REGRESSION ANALYSIS, CORRELATION TECHNIQUES, TRANSFER FUNCTIONS, TIME SERIES ANALYSIS, MATHEMATICAL MODELS, CONFIDENCE LIMITS, COMPUTER PROGRAMS, IDENTIFICATION SYSTEMS, THESES

Subject Categories : Industrial Chemistry and Chemical Processing
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE