Stability Results For Neural Networks Of Neutral-Type With Discrete Interval And Unbounded Distributed Delays

摘要：

This paper investigates the stability criterion of neural networks of neutral-type with discrete interval and unbounded distributed delays. A new delay-dependent condition is obtained by using more general Lyapunov-Krasovskii functionals. Meanwhile, this condition is expressed in terms of a linear matrix inequality (L.MI), which can be checked easily using the MATLAB LMI toolbox. A numerical example is given to illustrate the availability of the proposed results.

关键词： stability neural networks neutral-type lyapunov-krasovskit functional unbounded distributed delays

作者: Guoquan Liu Simon X. Yang Yi Tang

作者单位: College of Automation, Chongqing University, Chongqing, China College of Automation, Chongqing University, Chongqing, China School of Engineering, University of G School of Electronic and Information Engineering Chongqing University of Science and Technology, Cho

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 245-249

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）