Title :
An estimation of upperbound of delays for global asymptotic stability of delayed Hopfield neural networks
Author :
Chen, Anping ; Cao, Jinde ; Huang, Lihong
Author_Institution :
Dept. of Math., Chenzhou Teacher´´s Coll., China
fDate :
7/1/2002 12:00:00 AM
Abstract :
This paper provides an upperbound of delays for the global asymptotic stability of the equilibrium of Hopfield neural networks with transmission delays. Such a bound has important significance in both theory and application for the design of the globally stable networks. An example is also given to illustrate that the conditions of our result are feasible
Keywords :
Hopfield neural nets; asymptotic stability; delay estimation; delayed Hopfield neural networks; global asymptotic stability; globally stable network design; transmission delays; upperbound of delays estimation; Artificial neural networks; Asymptotic stability; Biomembranes; Delay effects; Delay estimation; Focusing; Hopfield neural networks; Mathematics; Nerve fibers; Neurons;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
DOI :
10.1109/TCSI.2002.800841
