IDENTIFICATION AND OPTIMIZATION OF MULTIVARIABLE SYSTEMS USING CORRELATION TECHNIQUES

IDENTIFICATION AND OPTIMIZATION OF MULTIVARIABLE SYSTEMS USING CORRELATION TECHNIQUES

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 ind...

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Bibliographische Detailangaben
Hauptverfasser: Narendra,Kumpati S, McBride,Lyle E ,Jr
Format: Report
Sprache:eng
Schlagworte:
ADAPTIVE CONTROL SYSTEMS
ANALOG COMPUTERS
CORRELATION TECHNIQUES
IDENTIFICATION
LINEAR SYSTEMS
MATRICES(MATHEMATICS)
MULTIPLE OPERATION
OPTIMIZATION
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Beschreibung
Zusammenfassung: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)