DocumentCode :
550863
Title :
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
Link To Document :
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