New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
点击次数:
发表刊物:MATHEMATICAL PROBLEMS IN ENGINEERING
关键字:TIME-VARYING DELAYS; BIDIRECTIONAL ASSOCIATIVE MEMORIES; ROBUST STABILITY; ASYMPTOTIC STABILITY; SYS
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.
论文类型:开发研究
论文编号:000320513800001
一级学科:控制科学与工程
文献类型:期刊
卷号:2013
页面范围:1-9
ISSN号:1024123X 15635147
是否译文:否
CN号:null
发表时间:2013-12-31
收录刊物:SCI
发布期刊链接:
https://doi.org/10.1155/2013/141592