Stability of cellular neural networks with time-varying delay

被引：73

作者：

Yu, GJ

Lu, CY

Tsai, JSH

Su, TJ

Liu, BD

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 701, Taiwan

[2] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung 807, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 2003年 / 50卷 / 05期

关键词：

cellular neural networks (CNNs); linear-matrix inequality (LMI); stability;

D O I：

10.1109/TCSI.2003.811031

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：

The stability for cellular neural networks (CNNs) with time-varying delay is introduced by linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the, dependence of the delay. This condition is less restrictive than that given in the literature.

引用

页码：677 / 679

页数：3

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