Globally Exponential Stability of Discrete-Time Hopfield Neural Networks with Impulses

摘要：

In this article, A new set for the existence conditions of a unique equilibrium and the sufficient conditions of the globally exponential stability of the discrete-time Hopfield-type neural network with impulses is derived.

作者: Xinquan Zhao

作者单位: Information School, Zhongnan University of Economics & Law, Wuhan, Hubei, P R China, 430074

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）