A novel method for detecting synchronization of pulse oscillator signals via entropy measures is introduced. Entropy is calculated for the time series derived from the ratios of the periods of the analyzed signals at intervals of the multiplication signal. We explore a model dynamic system consisting of two resistively coupled pulse oscillators. By adjusting the resistance, it is possible to induce various synchronization states in the output signals. This method has been employed to analyze the maps of oscillator synchronization states using four different entropy measures: FuzzyEn, SampEn, SVDEn and NNetEn. A detailed comparative analysis of these measures was conducted. The developed approach showcases its potential for implementation in mobile digital platforms for analyzing and diagnosing synchronization failures across diverse systems.
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Борисков et al. (2024) studied this question.
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