Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator

被引：7

作者：

Chen, Zhibin ^{[1
]}

机构：

[1] Hunan Univ Technol, Sch Sci, Zhuzhou 412000, Hunan, Peoples R China

来源：

NEURAL PROCESSING LETTERS | 2019年 / 49卷 / 03期

关键词：

Exponential convergence; Fuzzy cellular neural network; Neutral type delay; D operator; FINITE-TIME STABILITY; EXPONENTIAL STABILITY; OSCILLATING COEFFICIENTS; ROBUST STABILITY; CRITERIA; DELAYS;

D O I：

10.1007/s11063-018-9864-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A model of neutral type fuzzy cellular neural networks with D operator is proposed. Applying differential inequality techniques, several sufficient conditions are derived to ensure the global exponential convergence of solutions for the proposed neural networks. Finally, a numerical simulation example is given to illustrate the effectiveness of the obtained results.

引用

页码：1189 / 1199

页数：11

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