Fixed-time synchronization of competitive neural networks with proportional delays and impulsive effect

被引：0
作者：
Chaouki Aouiti
El Abed Assali
Farouk Chérif
Anis Zeglaoui
机构：
[1] University of Carthage,Faculty of Sciences of Bizerta, Department of Mathematics, Research Units of Mathematics and Applications UR13ES47
[2] King Khalid University,Department of Mathematics, College of Science
[3] University of Sousse,MaPSFA
[4] University of Sousse,ESST Hammam Sousse, ISSAT
来源：
Neural Computing and Applications | 2020年 / 32卷
关键词：
Competitive neural networks; Fixed-time synchronization; Proportional delays; Impulse; 34C27; 37B25; 92C20;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates the fixed-time synchronization problems for competitive neural networks with proportional delays and impulsive effect. The concerned network involves two coupling terms, i.e., long-term memory and short-term memory, which leads to the difficulty to the dynamics analysis. Based on Lyapunov functionals, the differential inequalities and for the objective of making the settling time independent of initial condition, a novel criterion guaranteeing the fixed-time synchronization of addressed system is derived. Finally, two examples and their simulations are given to demonstrate the effectiveness of the obtained results.
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页码：13245 / 13254
页数：9
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