Title :
Stability Analysis of Delay Neural Networks With Impulsive Effects
Author :
Yang, Zhichun ; Xu, Daoyi
Author_Institution :
Lab. of Syst. Anal., Sichuan Univ., Chengdu, China
Abstract :
A generalized model of neural networks with time-varying delays and impulsive effects is considered. By establishing an impulsive delay differential inequality, we investigate the global exponential stability and uniform stability of impulsive delay neural networks. Our sufficient conditions ensuring the stability are dependent on delays and impulses and show delay and impulsive effects on the stability of neural networks. The results extend and improve the earlier publications.
Keywords :
analogue circuits; asymptotic stability; delays; network analysis; neural nets; time-varying systems; delay neural networks; global exponential stability; impulsive delay differential inequality; impulsive effects; stability analysis; sufficient condition; time-varying delays; Biological neural networks; Delay effects; Delay systems; Differential equations; Frequency; Neural networks; Neurons; Stability analysis; Sufficient conditions; Working environment noise; Neural networks; exponential stability; impulsive effects; time-varying delays;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2005.849032
