Stochastic finite-time synchronization and energy consumption for Kuramoto-oscillator networks

This article studies stochastic finite-time synchronization, energy consumption, and trade-off analysis of Kuramoto-oscillator networks. First, according to Lyapunov theory, the stochastic finite-time PA and frequency synchronization criteria of Kuramoto-oscillator networks under identical and nonidentical natural frequencies are obtained. Simultaneously, based on the stochastic theory, the upper bound of the setting-time of Kuramoto-oscillator networks is obtained. Subsequently, to evaluate the runtime of the controller, the corresponding upper bound on the energy consumption required for system synchronization is developed. In addition, to meet the needs of different industries, the optimal equilibrium point is obtained by conducting a trade-off analysis, and an appropriate evaluation index function is introduced, which will further enrich the application scenarios of the obtained theory. Finally, the simulation results show that the results obtained in this article are correct and effective.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-04-01
DOI
https://doi.org/10.1177/01423312261434314
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Stochastic finite-time synchronization and energy consumption for Kuramoto-oscillator networks

Dongbing Tong, Z.P. Ma, Wuneng Zhou, Shazheng Zhu
Transactions of the Institute of Measurement and Control
Nonlinear Dynamics and Pattern Formation
article

Stochastic finite-time synchronization and energy consumption for Kuramoto-oscillator networks

Dongbing Tong, Z.P. Ma, Wuneng Zhou, Shazheng Zhu
article en

Abstract

This article studies stochastic finite-time synchronization, energy consumption, and trade-off analysis of Kuramoto-oscillator networks. First, according to Lyapunov theory, the stochastic finite-time PA and frequency synchronization criteria of Kuramoto-oscillator networks under identical and nonidentical natural frequencies are obtained. Simultaneously, based on the stochastic theory, the upper bound of the setting-time of Kuramoto-oscillator networks is obtained. Subsequently, to evaluate the runtime of the controller, the corresponding upper bound on the energy consumption required for system synchronization is developed. In addition, to meet the needs of different industries, the optimal equilibrium point is obtained by conducting a trade-off analysis, and an appropriate evaluation index function is introduced, which will further enrich the application scenarios of the obtained theory. Finally, the simulation results show that the results obtained in this article are correct and effective.

Transactions of the Institute of Measurement and Control
Shanghai University of Engineering Science (CN), Guangxi University (CN), Donghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Nonlinear Dynamics and Pattern Formation
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