New Exponential Stability Conditions of Switched BAM Neural Networks with Delays

被引：0
|
作者：
Yang, Yi [1 ,2 ]
机构：
[1] Beihang Univ, Reliabil & Syst Engn Sch, Beijing 100191, Peoples R China
[2] China Astronaut Res & Training Ctr, Beijing 100094, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷
关键词：
ROBUST STABILITY; ASYMPTOTIC STABILITY; TIME-DELAY; CRITERION; SYSTEMS;
D O I：
10.1155/2013/141592
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The exponential stability problem is considered in this paper for discrete-time switched BAM neural networks with time delay. The average dwell time method is introduced to deal with the exponential stability analysis of the systems for the first time. By constructing a new switching-dependent Lyapunov-Krasovskii functional, some new delay-dependent criteria are developed, which guarantee the exponential stability. A numerical example is provided to demonstrate the potential and effectiveness of the proposed algorithms.
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页数：9
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