Result Concerning Delay-Dependent Ezponential Stability of Delayed Neural Networks

摘要：

Without assumption of the boundedness of the activation functions, using LyapunovKrasovskii functional, relationships among the state vectors of the neural networks together with homeomorphism map, a linear matrix inequality (LMI) approach is developed to derive a new delay-dependent sufficient condition for (ⅰ) existence (ⅱ) uniqueness and (ⅲ) global exponential stability of equilibrium point, of a class of time-varying delay neural networks. Example is provided to demonstrate the effectiveness of the proposed result.

作者: Xin-Ge Liu Hai-Tao Cai Mei-Lan Tang

作者单位: School of Mathematical Science and Computing Technology Central South University Changsha, Hunan 410083, China

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2007(2007年电磁学研究新进展学术研讨会)(PIERS 2007)

会议地点: 北京

会议语种:英文

页码: 437-441

在线出版日期: 2007-03-26（万方平台首次上网日期，不代表论文的发表时间）