New delay dependent stability criteria for recurrent neural networks with interval time-varying delay

被引：29

作者：

Yang, Qiongfen ^{[1
]}

Ren, Quanhong ^{[1
]}

Xie, Xuemei ^{[2
]}

机构：

[1] Mianyang Normal Univ, Sch Math & Comp Sci, Mianyang 621000, Sichuan, Peoples R China

[2] Mianyang Normal Univ, Sch Marxism, Mianyang 621000, Sichuan, Peoples R China

来源：

ISA TRANSACTIONS | 2014年 / 53卷 / 04期

关键词：

Recurrent neural networks; Linear matrix inequality; Time delay; ROBUST STABILITY; STATE ESTIMATION; LINEAR-SYSTEMS; DISCRETE;

D O I：

10.1016/j.isatra.2014.05.009

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 is concerned with the delay dependent stability criteria for a class of static recurrent neural networks with interval time-varying delay. By choosing an appropriate Lyapunov-Krasovskii functional and employing a delay partitioning method, the less conservative condition is obtained. Furthermore, the LMIs-based condition depend on the lower and upper bounds of time delay. Finally, a numerical example is also designated to verify the reduced conservatism of developed criteria. (c) 2014 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：994 / 999

页数：6

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