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IDENTIFICATION AND OPTIMIZATION OF MULTIVARIABLE SYSTEMS USING CORRELATION TECHNIQUES,
HARVARD UNIV CAMBRIDGE MASS CRUFT LAB
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