Synchronisation of multi-weighted coupled delayed systems with Lévy noise under adaptive intermittent control

This paper investigates the exponential synchronisation of multi-weighted coupled delayed networks with Lévy noise via adaptive aperiodically intermittent control. To overcome the limitations of traditional periodically intermittent control methods, we propose an adaptive aperiodically intermittent control strategy that dynamically adjusts both control gains and intermittent periods, effectively addressing the synchronisation challenges posed by the combined effects of multi-weighted topology, time-varying coupling, and Lévy noise. By employing Lyapunov stability theory and algebraic graph theory, we construct a global Lyapunov function and establish novel criteria for ensuring pth moment exponential synchronisation. The derived conditions explicitly reveal quantitative relationships between control parameters, network topology, and noise intensity. Notably, the proposed adaptive mechanism can dynamically optimise control efficiency according to system characteristics. Finally, numerical simulations of coupled Chua's circuits validate the effectiveness and practicality of theoretical results.

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Publication Details

Journal
International Journal of Systems Science
Published
2026-09-05
DOI
https://doi.org/10.1080/00207721.2026.2728146
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Synchronisation of multi-weighted coupled delayed systems with Lévy noise under adaptive intermittent control

Xinpo Lin, Xiang Gao, Yixuan Chang, Huihui Song
International Journal of Systems Science
Neural Networks Stability and Synchronization
article

Synchronisation of multi-weighted coupled delayed systems with Lévy noise under adaptive intermittent control

Xinpo Lin, Xiang Gao, Yixuan Chang, Huihui Song
article en

Abstract

This paper investigates the exponential synchronisation of multi-weighted coupled delayed networks with Lévy noise via adaptive aperiodically intermittent control. To overcome the limitations of traditional periodically intermittent control methods, we propose an adaptive aperiodically intermittent control strategy that dynamically adjusts both control gains and intermittent periods, effectively addressing the synchronisation challenges posed by the combined effects of multi-weighted topology, time-varying coupling, and Lévy noise. By employing Lyapunov stability theory and algebraic graph theory, we construct a global Lyapunov function and establish novel criteria for ensuring pth moment exponential synchronisation. The derived conditions explicitly reveal quantitative relationships between control parameters, network topology, and noise intensity. Notably, the proposed adaptive mechanism can dynamically optimise control efficiency according to system characteristics. Finally, numerical simulations of coupled Chua's circuits validate the effectiveness and practicality of theoretical results.

International Journal of Systems Science
Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 8%
Neural Networks Stability and Synchronization
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Synchronisation of multi-weighted coupled delayed systems with Lévy noise under adaptive intermittent control — Xinpo Lin, Xiang Gao, et al. · International Journal of Systems Science (2026) | TGRS Research Map | TGRS