Synchronization of delayed BAM neural networks with reaction-diffusion terms

Author

Sheng Li ; Gao Ming

Author_Institution

Coll. of Inf. & Control Eng., China Univ. of Pet. (East China), Dongying, China

fYear

2011

fDate

22-24 July 2011

Firstpage

2753

Lastpage

2758

Abstract

In this paper, the problem of synchronization for a class of delayed BAM neural networks with reaction-diffusion terms is investigated. By using the drive-response concept, a feedback control law is derived to achieve the state synchronization of two identical BAM neural networks with reaction-diffusion terms. Moreover, based on Lyapunov stability method and Young inequality lemma, a sufficient condition is obtained to ensure asymptotic synchronization of the models considered. An example is given to show the effectiveness of the obtained results.

Keywords

Lyapunov methods; content-addressable storage; delay systems; feedback; neurocontrollers; reaction-diffusion systems; stability; synchronisation; Lyapunov stability; Young inequality lemma; asymptotic synchronization; bidirectional associative memory; delayed BAM neural network; drive-response concept; feedback control law; reaction-diffusion term; state synchronization; Biological neural networks; Chaos; Control systems; Delay; Neurons; Synchronization; Asymptotic Synchronization; BAM Neural Networks; Lyapunov Functional; Reaction-Diffusion Terms;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6001203