Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects

被引:7
作者
Nie, Huining [1 ]
Zhang, Yu [1 ]
机构
[1] Tongji Univ, Sch Math Sci, Key Lab Intelligent Comp & Applicat, Minist Educ, Shanghai 200092, Peoples R China
关键词
Finite-time cluster synchronization; Multi-weighted fractional-order neural networks; Mixed impulsive effects; COMPLEX NETWORKS; DYNAMICS; SYSTEMS;
D O I
10.1016/j.neunet.2024.106646
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural networks is studied. Firstly, a FTCS criterion of the considered neural networks is obtained by designing a new delayed state feedback controller. Secondly, a FTCS criterion for the considered neural networks with mixed impulsive effects is given by constructing a new piecewise controller, where both synchronizing and desynchronizing impulses are taken into account. It should be noted that it is the first time that finite-time cluster synchronization of multi-weighted neural networks has been investigated. Finally, numerical simulations are given to show the validity of the theoretical results.
引用
收藏
页数:11
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