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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Hauptverfasser:	Narendra,Kumpati S, McBride,Lyle E ,Jr
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Sprache:	eng
Schlagworte:	ADAPTIVE CONTROL SYSTEMS ANALOG COMPUTERS CORRELATION TECHNIQUES IDENTIFICATION LINEAR SYSTEMS MATRICES(MATHEMATICS) MULTIPLE OPERATION OPTIMIZATION
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creator	Narendra,Kumpati S McBride,Lyle E ,Jr
description	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)
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subjects	ADAPTIVE CONTROL SYSTEMS ANALOG COMPUTERS CORRELATION TECHNIQUES IDENTIFICATION LINEAR SYSTEMS MATRICES(MATHEMATICS) MULTIPLE OPERATION OPTIMIZATION
title	IDENTIFICATION AND OPTIMIZATION OF MULTIVARIABLE SYSTEMS USING CORRELATION TECHNIQUES
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