Stability of Switched Cellular Neural Networks with Flat Fuzzy Feedback Min and Max Templates

被引：0

作者：

Huang, Jinhua ^{[1
]}

Liu, Jiqing ^{[1
]}

机构：

[1] Wuhan Inst Shipbldg Technol, Dept Elect & Elect Engn, Wuhan 430050, Hubei, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷

关键词：

Switch; Fuzzy; Feedback Min templates; Stability; GLOBAL EXPONENTIAL STABILITY; DESIGN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, switched cellular neural networks are studied. Some sufficient conditions are obtained to guarantee that switched cellular neural network with flat frizzy feedback Min templates and flat fuzzy feedback Max templates is globally exponentially stable. Since our assumptions relax the previous assumptions in some existing works, the results presented in this paper are the improvement and extension of the existed ones.

引用

页码：218 / 224

页数：7

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