Synchronization Analysis of Directed Complex Networks with Multi-Weights via Intermittent Control

This thesis analyses the synchronization issue for directed complex networks with multi-weights (CNMs). In the synchronization control scheme, the control strategy adopts non-periodically intermittent and pinning control methods, and the number of pinned nodes can be different in different sub-networks(coupling forms). Based on the Lyapunov stability theory, a linear feedback controller is designed, some sufficient conditions are derived for guaranteeing exponential synchronization of directed CNMs via intermittent control. Furthermore, two numerical simulations further validate the obtained conclusions.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762718
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Synchronization Analysis of Directed Complex Networks with Multi-Weights via Intermittent Control

J. P. Zheng, Liang Lu, Yi Liang
Neural Networks Stability and Synchronization
article

Synchronization Analysis of Directed Complex Networks with Multi-Weights via Intermittent Control

J. P. Zheng, Liang Lu, Yi Liang
article en

Abstract

This thesis analyses the synchronization issue for directed complex networks with multi-weights (CNMs). In the synchronization control scheme, the control strategy adopts non-periodically intermittent and pinning control methods, and the number of pinned nodes can be different in different sub-networks(coupling forms). Based on the Lyapunov stability theory, a linear feedback controller is designed, some sufficient conditions are derived for guaranteeing exponential synchronization of directed CNMs via intermittent control. Furthermore, two numerical simulations further validate the obtained conclusions.

Yili Normal University (CN)
Openalex Percentile: Top 70%
Neural Networks Stability and Synchronization
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