Synchronisation in complex networks via the input–output function of dynamic relay links

In this paper, the synchronisation problem for a category of complex dynamical networks (CDNs) incorporating dynamic relay links (DRLs) with input–output function is investigated. In contrast to the current literature, this paper introduces the concept of a relay-conversion relationship to describe the connections between nodes and proposes a complex network model composed of a DRL subsystem and a node subsystem. In this model, these two subsystems are coupled by their respective outputs, which demonstrates the unique input–output characteristic and function of the DRLs. Subsequently, to realise node synchronisation, the node controller and the DRL coupling term are designed based on Lyapunov stability theory. Furthermore, under the coupling effect of the node subsystem, the DRL synchronisation is also achieved while the nodes achieve synchronisation. Finally, by using a numerical simulation example, the viability of the control scheme proposed in this paper is confirmed.

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Publication Details

Journal
International Journal of Control
Published
2026-06-30
DOI
https://doi.org/10.1080/00207179.2026.2689186
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Synchronisation in complex networks via the input–output function of dynamic relay links

Yinhe Wang, Yi Peng, Wenhao Zhong, Lizhi Liu et al.
International Journal of Control
Neural Networks Stability and Synchronization
article

Synchronisation in complex networks via the input–output function of dynamic relay links

Yinhe Wang, Yi Peng, Wenhao Zhong, Lizhi Liu, Zihao Chen
article en

Abstract

In this paper, the synchronisation problem for a category of complex dynamical networks (CDNs) incorporating dynamic relay links (DRLs) with input–output function is investigated. In contrast to the current literature, this paper introduces the concept of a relay-conversion relationship to describe the connections between nodes and proposes a complex network model composed of a DRL subsystem and a node subsystem. In this model, these two subsystems are coupled by their respective outputs, which demonstrates the unique input–output characteristic and function of the DRLs. Subsequently, to realise node synchronisation, the node controller and the DRL coupling term are designed based on Lyapunov stability theory. Furthermore, under the coupling effect of the node subsystem, the DRL synchronisation is also achieved while the nodes achieve synchronisation. Finally, by using a numerical simulation example, the viability of the control scheme proposed in this paper is confirmed.

International Journal of Control
Hunan Institute of Science and Technology (CN), Guangdong University of Technology (CN), Guangdong Polytechnic of Science and Technology (CN), Institute of Science and Technology
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 6%
Neural Networks Stability and Synchronization
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