Delay-dependent passivity analysis for Markov jump neural networks with time-varying delays

被引：0

作者：

Wang, Jing ^{[1
]}

Shen, Hao ^{[1
]}

机构：

[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC) | 2014年

基金：

中国国家自然科学基金;

关键词：

ROBUST STABILITY; SYSTEMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper addresses the passivity analysis problem for Markov jump neural networks with time-varying delays. The aim is focus on establishing the passivity condition of the considered neural networks. To reduce the conservatism of the proposed passivity condition, based on an extended Wirtinger inequality, a reciprocally convex approach is used. A numerical example is presented to show effectiveness of our proposed condition.

引用

页码：1530 / 1533

页数：4

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