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
收藏
页码：994 / 999
页数：6
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