The article poses and solves the problem of creating an experiment processing method that is compact, high-precision and convenient for use as part of an adaptive controller. These requirements are met by the author's method of negative correlation. The method uses the property of effective ASC. It consists in the fact that the frequency of natural oscillations of the system is significantly higher than the cutoff frequencies of the disturbing influences. Taking into account the low frequency, it turns out to be sufficient to measure only two ordinates for estimating the amplitude of oscillations and two ordinates for estimating their phase, followed by averaging over a set of periods. Each pair is separated by an interval equal to the half-period of the harmonic, and as a result, by a sign change. The sign change causes the use of the subtraction operation when averaging over the set, instead of the addition operation, the correlation moment is subtracted from the noise variance, and due to which it is accompanied by a significant decrease in the influence of the noise on the accuracy estimate. Analytical expressions are obtained for the absolute maximum amplitude and phase errors for a given confidence level. The experiment planning procedure was designed to obtain the desired a priori information about the perturbation and system properties. The program was developed in the Mathcad environment. Researches of the methods offered in work are carried out. They showed high efficiency, as well as the possibility of their practical use as part of an adaptive controller.