Title :
Stability Analysis for Neural Networks With Time-Varying Interval Delay
Author :
He, Yong ; Liu, G.P. ; Rees, D. ; Wu, Min
Author_Institution :
Central South Univ., Changsha
Abstract :
This letter is concerned with the stability analysis of neural networks (NNs) with time-varying interval delay. The relationship between the time-varying delay and its lower and upper bounds is taken into account when estimating the upper bound of the derivative of Lyapunov functional. As a result, some improved delay/interval-dependent stability criteria for NNs with time-varying interval delay are proposed. Numerical examples are given to demonstrate the effectiveness and the merits of the proposed method.
Keywords :
Lyapunov methods; neural nets; stability; time-varying systems; Lyapunov functional derivative; neural networks; stability analysis; time-varying interval delay; Delay/interval-dependent stability; neural networks (NNs); time-varying interval delay;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2007.903147
