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arXiv · 2507.02069

Investigations of Complex Systems' Dynamics Based on a Reduced Amount of Information -- Part 3: Dynamical Phenomena Indicator -- The Fastest and Most Universal Approach for Analyzing the Dynamics of Networks of Coupled Nonlinear Systems

Volodymyr Denysenko·Artur Dabrowski
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Abstract

Recently, we have demonstrated that our approach is a highly effective tool while analysing complex phenomena existing in networks of coupled nonlinear systems. In the present article we present the results of our investigations into a specific aspect of the presented method. We prove its effectiveness while applying for fast investigations of complex systems and easy detection of different uncommon dynamical phenomena states. We also extend our method introducing new Dynamical Phenomena Indicator (DPI), designed especially for effective detection of complex dynamical phenomena states in the wide range of the parameters of complex networks of coupled nonlinear systems. Contrary to commonly applied methods, the proposed approach allows for identification of complex dynamical phenomena long before stabilization of the system. The method bases on early signalized tendency of the system to split its dynamics to separately synchronized subsystems. The most important fact is that proposed approach is highly universal and can be applied for both, symmetrical and non-symmetrical topologies of coupling as well as networks of identical and non-identical oscillators. Moreover, since DPI values are obtained from the current state of dynamical system given by values of the system variables, proposed method of fast searching has a huge potential for experimental application. Following this reasoning the presented results can be treated both as exemplary numerical investigations and analysis of experimentally obtained results.

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Volodymyr Denysenko, Artur Dabrowski. 2025-07-02. Investigations of Complex Systems' Dynamics Based on a Reduced Amount of Information -- Part 3: Dynamical Phenomena Indicator -- The Fastest and Most Universal Approach for Analyzing the Dynamics of Networks of Coupled Nonlinear Systems. https://arxiv.org/abs/2507.02069

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