Finite-Time Synchronization of Complex Dynamic Networks via Pinning Hybrid Control With Stochastic Disturbances

This article presents a novel theoretical framework for the finite-time synchronization (FTS) of complex dynamic networks (CDNs) under stochastic disturbances. Few studies have explored the combination of pinning impulsive control and pinning finite-time feedback control, with most finite-time feedback controls being designed globally rather than locally. Our approach integrates both pinning impulsive and pinning finite-time feedback strategies to achieve FTS of CDNs. We introduce a new impulse-type stochastic finite-time stability theory to demonstrate FTS in the presence of disturbances. Additionally, we propose criteria to ensure FTS and provide an explicit expression for the settling time, which is shown to be shorter than those in previous works. A numerical simulation is presented to validate the proposed methodology.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-04-25
DOI
https://doi.org/10.1109/tsmc.2025.3559529
Citations
1
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
1.49

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article

Finite-Time Synchronization of Complex Dynamic Networks via Pinning Hybrid Control With Stochastic Disturbances

Shengli Xie, Feiqi Deng, Bo Zhang, Liang Chen
1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Neural Networks Stability and Synchronization
1.49
article

Finite-Time Synchronization of Complex Dynamic Networks via Pinning Hybrid Control With Stochastic Disturbances

Shengli Xie, Feiqi Deng, Bo Zhang, Liang Chen
article en
1 citations

Abstract

This article presents a novel theoretical framework for the finite-time synchronization (FTS) of complex dynamic networks (CDNs) under stochastic disturbances. Few studies have explored the combination of pinning impulsive control and pinning finite-time feedback control, with most finite-time feedback controls being designed globally rather than locally. Our approach integrates both pinning impulsive and pinning finite-time feedback strategies to achieve FTS of CDNs. We introduce a new impulse-type stochastic finite-time stability theory to demonstrate FTS in the presence of disturbances. Additionally, we propose criteria to ensure FTS and provide an explicit expression for the settling time, which is shown to be shorter than those in previous works. A numerical simulation is presented to validate the proposed methodology.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(7)
Guangdong University of Technology (CN), South China University of Technology (CN)
Scientific and Technological Planning Project of Guangzhou City, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 18%
Neural Networks Stability and Synchronization
1.49
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