Impulsive synchronization of higher-order network with multiple delays

This paper mainly investigates the issue of synchronization of higher-order networks with multiple delays via impulsive control. To achieve synchronization, an impulsive control scheme is adopted to devise effective controllers. On the basis of Laypunov function and mathematical analysis theory, sufficient conditions for a higher-order network to realize impulsive synchronization with multiple time delays are given. This result extends the one-order network to higher-order network, and takes into account the case of multiple time delays. Furthermore, the adaptive strategy is utilized to alleviate the constraints on impulsive intervals and impulsive gains, reduce the cost of network control and make the conditions more universal. Impulsive instants can be approximated through solving a series of maximum problems, and the impulsive gains can converge to a needed value. Ultimately, the credibility of the theoretical results is substantiated through numerical simulations.

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Publication Details

Journal
International Journal of Modern Physics C
Published
2025-06-20
DOI
https://doi.org/10.1142/s0129183125501451
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Impulsive synchronization of higher-order network with multiple delays

Zhaoyan Wu, Xuefei Leng, Mengling Xiao
International Journal of Modern Physics C
Neural Networks Stability and Synchronization
article

Impulsive synchronization of higher-order network with multiple delays

Zhaoyan Wu, Xuefei Leng, Mengling Xiao
article en

Abstract

This paper mainly investigates the issue of synchronization of higher-order networks with multiple delays via impulsive control. To achieve synchronization, an impulsive control scheme is adopted to devise effective controllers. On the basis of Laypunov function and mathematical analysis theory, sufficient conditions for a higher-order network to realize impulsive synchronization with multiple time delays are given. This result extends the one-order network to higher-order network, and takes into account the case of multiple time delays. Furthermore, the adaptive strategy is utilized to alleviate the constraints on impulsive intervals and impulsive gains, reduce the cost of network control and make the conditions more universal. Impulsive instants can be approximated through solving a series of maximum problems, and the impulsive gains can converge to a needed value. Ultimately, the credibility of the theoretical results is substantiated through numerical simulations.

International Journal of Modern Physics C
Jiangxi Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Openalex Percentile: Top 85%
Neural Networks Stability and Synchronization
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Impulsive synchronization of higher-order network with multiple delays — Zhaoyan Wu, Xuefei Leng, et al. · International Journal of Modern Physics C (2025) | TGRS Research Map | TGRS