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

被引：26
|
作者：
Aouiti, Chaouki [1 ]
Assali, El Abed [1 ]
Cherif, Farouk [2 ,3 ]
Zeglaoui, Anis [3 ,4 ]
机构：
[1] Univ Carthage, Fac Sci Bizerta, Dept Math, Res Units Math & Applicat,UR13ES47, BP 7021, Zarzouna, Bizerta, Tunisia
[2] King Khalid Univ, Coll Sci, Dept Math, Abha 9004, Saudi Arabia
[3] Univ Sousse, MaPSFA ESST Hammam Sousse, ISSAT, Sousse, Tunisia
[4] Univ Sousse, LAMMDA ESST Hammam Sousse, Sousse, Tunisia
来源：
NEURAL COMPUTING & APPLICATIONS | 2020年 / 32卷 / 17期
关键词：
Competitive neural networks; Fixed-time synchronization; Proportional delays; Impulse; GLOBAL EXPONENTIAL STABILITY; ALMOST-PERIODIC SOLUTION; LAG SYNCHRONIZATION; NEUTRAL-TYPE; EXISTENCE; STABILIZATION;
D O I：
10.1007/s00521-019-04654-3
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 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.
引用
收藏
页码：13245 / 13254
页数：10
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