Distributed dynamic event-triggered control for fixed/preassigned-time output synchronization of output-coupling complex networks

Feng, Liang; Hu, Cheng; Zhu, Quanxin; Kong, Fanchao; Wen, Shiping

doi:10.1016/j.ins.2023.119651

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…As one of the important collective behaviors of complex networks, synchronization plays an important role in the study of complex networks 4–6 . Coupled neural networks (CNNs), as a special case of complex networks, its synchronization problem has been paid more attention and some achievements have been made 4,7–9 . However, most of the current research results are based on single‐layer networks, which often have limitations in practical applications and cannot reflect real‐world characteristics well, so prompts researchers to investigate multilayer networks (MLNs).…”

Section: Introductionmentioning

confidence: 99%

Cluster synchronization of stochastic two‐layer networks with infinite distributed delays via delayed pinning impulsive control

Zhang,

Wei,

Wang

et al. 2024

Adaptive Control & Signal

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SummaryThe cluster synchronization problem of stochastic two‐layer networks with infinite distributed delays is concerned. Firstly, we study the cluster synchronization of the first layer (leader‐layer) network with the average state of each cluster of sets as synchronization target. Secondly, we design a delayed pinning impulsive controller to synchronize the second layer (follower‐layer) network to the first layer network in a mean square cluster sense. Based on stochastic impulsive analysis and Lyapunov stability theory, some sufficient conditions for cluster synchronization are obtained. Finally, the effectiveness of the theoretical results is verified through numerical simulations.

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Section: Introductionmentioning

confidence: 99%