Further Results on Fixed-Time Cluster Synchronization of Coupled Neural Networks

被引：0
作者：
Rujia Huang
Xiaoyang Liu
Jinde Cao
机构：
[1] Jiangsu Normal University,School of Computer Science & Technology
[2] Ministry of Education,Key Laboratory of System Control and Information Processing
[3] Southeast University,School of Mathematics
来源：
Neural Processing Letters | 2023年 / 55卷
关键词：
Cluster synchronization; Coupled neural networks; External disturbances; Fixed-time synchronization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper considers the fixed-time cluster synchronization of nonlinear coupled neural networks. Some novel cost-saving fixed-time controllers are developed to ensure the cluster synchronization for the coupled neural networks with/without disturbances. Different from the traditional fixed-time synchronization controllers containing many nonlinear terms, the newly designed control protocol only holds one power-exponent term. Two numerical examples are provided to illustrate the feasibility of the derived results.
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页码：5069 / 5085
页数：16
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