中国电子科技2005，Vol.3Issue(2)：126-129,4.
Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay
Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay
LI Hong 1L(U) Shu 1ZHONG Shou-ming1
作者信息
- 1. School of Applied Mathematics, University of Electronic Science and Technology of China Chengdu 610054 China
- 折叠
摘要
Abstract
The global uniform asymptotic stability of competitive neural networks with different time scales and delay is investigated. By the method of variation of parameters and the method of inequality analysis, the condition for global uniformly asymptotically stable are given. A strict Lyapunov function for the flow of a competitive neural system with different time scales and delay is presented. Based on the function, the global uniform asymptotic stability of the equilibrium point can be proved.关键词
flow invariance/delay/different time-scales neural network/asymptotic stabilityKey words
flow invariance/delay/different time-scales neural network/asymptotic stability分类
信息技术与安全科学引用本文复制引用
LI Hong,L(U) Shu,ZHONG Shou-ming..Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay[J].中国电子科技,2005,3(2):126-129,4.
