Event-triggered control for projective synchronization fractional-order switched coupled neural networks with higher-order interactions

被引：1

作者：

Yang, Dongsheng ^{[1
]}

Wang, Hu ^{[2
]}

Ren, Guojian ^{[1
]}

Yu, Yongguang ^{[1
]}

Zhang, Xiao-Li ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Math & Stat, Beijing 100044, Peoples R China

[2] Cent Univ Finance & Econ, Sch Stat & Math, Beijing 100081, Peoples R China

来源：

NEUROCOMPUTING | 2025年 / 623卷

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Fractional order; Coupled neural networks; Higher-order interactions; Event-triggered control;

D O I：

10.1016/j.neucom.2025.129407

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates the projective synchronization problem for fractional-order switched delayed coupled neural networks (FSDCNNs) with high-order interactions. Firstly, high-order interactions are incorporated into the FSDCNN model to more accurately simulate the complex interactions in actual neural networks. Secondly, a novel Halanay inequality, suitable for complex systems with time-varying disturbances, is proposed. This inequality provides an upper bound for the system's solution, enabling amore precise estimation of the convergence rate. Thirdly, an event-triggered controller is introduced to achieve convergence in fractional-order switched delayed systems, effectively addressing memory effect issues. Based on this, projective synchronization criteria for FSDCNNs are established. Finally, the effectiveness of the event-triggered control strategy is validated through numerical simulation.

引用

页数：10

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