Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays

Author

Cui, Jinzhong ; Luo, Mengzhuo ; Zhong, Shouming

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

865

Lastpage

866

Abstract

In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust global asymptotic stability in mean square of an equilibrium solution are given. One example is also given to demonstrate our results.

Keywords

asymptotic stability; discrete time systems; mean square error methods; neural nets; stochastic processes; delay-dependent robust global asymptotic stability; discrete-time delays; stochastic neural networks; unbounded distributed delays; Asymptotic stability; Computer networks; Distributed computing; Electronic mail; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Stochastic processes; Uncertain systems; LMI; Stochastic neural networks; robust global asymptotic stability; unbounded distributed delays;

fLanguage

English

Publisher

ieee

Conference_Titel

Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3929-4

Electronic_ISBN

978-1-4244-5421-1

Type

conf

DOI

10.1109/DASC.2009.164

Filename

5380577