Global exponential stability for uncertain delayed neural networks of neutral type with mixed time delays

被引：56

作者：

Lien, Chang-Hua ^{[1
]}

Yu, Ker-Wei ^{[1
]}

Lin, Yen-Feng ^{[1
]}

Chung, Yeong-Jay ^{[1
]}

Chung, Long-Yeu ^{[2
]}

机构：

[1] Natl Kaohsiung Marine Univ, Dept Marine Engn, Kaohsiung 811, Taiwan

[2] Tung Fang Inst Technol, Dept Elect Engn, Kaohsiung 829, Taiwan

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2008年 / 38卷 / 03期

关键词：

delay-dependent criterion; delayed neural networks (DNNs) of neutral type; delay-independent criterion; global exponential stability;

D O I：

10.1109/TSMCB.2008.918564

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 global exponential stability for a class of uncertain delayed neural networks (DNNs) of neutral type with mixed delays is investigated in this paper. Delay-dependent and delay-independent stability criteria are proposed to guarantee the robust stability and uniqueness of equilibrium point of DNNs via linear matrix inequality and Razumikhin-like approaches. Two classes of perturbations on weighting matrices are considered in this paper. Some numerical examples are illustrated to show the effectiveness of our results.

引用

页码：709 / 720

页数：12

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