Exponential stability for impulsive bidirectional associative memory neural networks with continuously distributed delays

Author

Xu, Junyan

Author_Institution

Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China

Volume

2

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

767

Lastpage

771

Abstract

This paper considers the global exponential stability and exponential convergence rate of impulsive BAM neutral networks with continuously distributed delays in which the state variables on the impulses are related to the unbounded distributed delays. By establishing a new impulsive delay differential inequality, a new criterion concerning global exponential stability for these networks is derived, which generalize and improve the previously known results.

Keywords

asymptotic stability; content-addressable storage; convergence; delays; neural nets; continuously distributed delays; exponential convergence rate; global exponential stability; impulsive BAM neutral networks; impulsive bidirectional associative memory neural networks; impulsive delay differential inequality; state variables; unbounded distributed delays; Artificial neural networks; Asymptotic stability; Chaos; Delay; Fractals; Stability criteria; BAM neural networks; continuously distributed delays; exponential stability; impulsive differential inequality;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5583194

Filename

5583194