Stability of Stochastic Impulsive Neural Networks with Unbounded Time-Varying Delays

Author

Liu, Guodong ; Wu, Guoxiong ; Wang, Zhenxia ; Ding, Jingsheng

Author_Institution

Sch. of Civil & Archit. Eng., Chongqing Jiaotong Univ., Chongqing, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

552

Lastpage

556

Abstract

In this paper, the problem of asymptotic stability for stochastic impulsive neural networks with unbounded time-varying delays is investigated. It is of great interest in both theory and practice that the stability of neural networks with unbounded time-varying delays is investigated. New stability criteria are presented by using Lyapunov-Kraovskii functional and linear matrix inequalities. An example is presented to demonstrate the effectiveness of the main results.

Keywords

Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neural nets; stochastic processes; time-varying systems; Lyapunov-Kraovskii functional; asymptotic stability; linear matrix inequalities; stochastic impulsive neural network stability; unbounded time-varying delays; Asymptotic stability; Biomedical signal processing; Computer architecture; Computer networks; Delay effects; Linear matrix inequalities; Neural networks; Stability criteria; Stochastic processes; Symmetric matrices; impulsive system; stability; stochastic perturbation; unbounded time-varying delays;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.306

Filename

5366012