Paper Title:

Time-Varying Delay Global Stability of Neural Networks

Periodical Applied Mechanics and Materials (Volume 65)
Main Theme Mechatronic Systems and Automation Systems
Edited by Zhenyu Du and Bin Liu
Pages 9-12
DOI 10.4028/www.scientific.net/AMM.65.9
Citation Dong Ming Huang et al., 2011, Applied Mechanics and Materials, 65, 9
Online since June, 2011
Authors Dong Ming Huang, Lei Sun
Keywords Lyapunov-Functional, Neural Network (NN), Stability, Time-Varying Delay
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Abstract

Hopfield neural networks with variable delay stability of the equilibrium point, the delayed neural network analysis of exponential convergence rate and exponential stability. Obtained by using Lyapunov functional stability of the index to determine the conditions, the use of a number of analytical methods to study the connection weight matrix and activation function of the boundary, has been the result of system is exponentially stable, and a numerical example to prove that the method effectiveness.