Stability Analysis of Cohen-Grossberg Type BAM Neural Network with Piecewise Constant Argument

被引：1
|
作者：
Zheng, Wenqing [1 ]
Xie, Tao [1 ]
Fang, Wenxiang [1 ]
机构：
[1] Hubei Normal Univ, Sch Math & Stat, Huangshi 435002, Hubei, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2023年 / 2023卷
关键词：
GLOBAL EXPONENTIAL STABILITY; FIXED-TIME SYNCHRONIZATION; DIFFERENTIAL-EQUATIONS; ASSOCIATIVE MEMORY; ASYMPTOTIC STABILITY; PERIODIC-SOLUTIONS; ROBUST STABILITY; VARYING DELAYS; EXISTENCE;
D O I：
10.1155/2023/2013300
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper introduces the stability problems of Cohen-Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium point are obtained; using inequality technique and Lyapunov method, sufficient stability criteria for BAMCGNN with PCA are presented. Finally, a numerical case shows the significance of the results of this paper.
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收藏
页数：20
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