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
收藏
页码:709 / 720
页数:12
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