Passivity and Robust Passivity of Reaction-Diffusion Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays

被引：0

作者：

Chen, Wei-Zhong ^{[1
]}

Huang, Yan-Li ^{[1
]}

Wang, Jin-Liang ^{[1
]}

Ren, Shun-Yan ^{[2
]}

机构：

[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China

[2] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

基金：

中国国家自然科学基金;

关键词：

Reaction-Diffusion Cohen-Grossberg Neural Networks; Passivity; Robust Passivity; Multiple Time-Varying Delays; STABILITY ANALYSIS; DISSIPATIVITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of passivity is discussed in this paper for reaction-diffusion Cohen-Grossberg neural networks (CGNNs) with multiple time-varying delays. By constructing suitable lyapunov functionals and employing some inequality techniques, several sufficient conditions guaranteeing the passivity of CGNNs are obtained. Furthermore, several criteria for robust passivity are also derived for the case that parameter uncertainties appear in CGNNs. Finally, a numerical example is given to validate the reasonableness and effectiveness of the proposed results.

引用

页码：40 / 45

页数：6

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