Stability and Existence of Anti-Periodic Solution for FCNNs With Time-Varying Delays and Impulsive Impacts

被引：2

作者：

Zhang, Qianhong ^{[1
]}

Lin, Fubiao ^{[1
]}

Hu, Mingjun ^{[2
]}

机构：

[1] Guizhou Univ Finance & Econ, Sch Math & Stat, Guiyang 550025, Guizhou, Peoples R China

[2] Anhui Jianzhu Univ, Sch Math & Phys, Hefei 230022, Anhui, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Exponential stability; anti-periodic solution; fuzzy cellular neural networks; time-varying delays; impulsive impacts; CELLULAR NEURAL-NETWORKS; GLOBAL EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; PERIODIC-SOLUTION; MIXED DELAYS; CONVERGENCE;

D O I：

10.1109/ACCESS.2019.2893482

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with the problem of anti-periodic solution for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive impacts. Utilizing Krasnoselski's fixed point theorem and contraction principle, developing some appropriate Lyapunov functional, some adequate conditions are set up for the global exponential stability and existence of anti-periodic solutions of FCNNs with time-varying delays and impulsive impacts. In addition, a model is exhibited to represent results setup.

引用

页码：21734 / 21743

页数：10

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