Stability of delayed memristive neural networks with time-varying impulses

被引：48
作者：
Qi, Jiangtao [1 ]
Li, Chuandong [1 ]
Huang, Tingwen [2 ]
机构：
[1] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
[2] Texas A&M Univ Qatar, Dept Math, Doha, Qatar
来源：
COGNITIVE NEURODYNAMICS | 2014年 / 8卷 / 05期
关键词：
Memristive neural networks; Time-varying impulses; Time-varying delays; Exponential stability; EXPONENTIAL STABILITY; SYNCHRONIZATION; SYSTEMS;
D O I：
10.1007/s11571-014-9286-0
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
This paper addresses the stability problem on the memristive neural networks with time-varying impulses. Based on the memristor theory and neural network theory, the model of the memristor-based neural network is established. Different from the most publications on memristive networks with fixed-time impulse effects, we consider the case of time-varying impulses. Both the destabilizing and stabilizing impulses exist in the model simultaneously. Through controlling the time intervals of the stabilizing and destabilizing impulses, we ensure the effect of the impulses is stabilizing. Several sufficient conditions for the globally exponentially stability of memristive neural networks with time-varying impulses are proposed. The simulation results demonstrate the effectiveness of the theoretical results.
引用
收藏
页码：429 / 436
页数：8
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