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Synchronization Stability in an Array of Linearly Coupled Connected Neural Networks with Multiple Delays
Wang Zhanshan 1 * #,GONG Dawei 2
1.School of Information Science and Engineering, Northeastern University, ShenYang 110004
2.School of Information Science and Engineering, Northeastern University, Shenyang, 110004
*Correspondence author
#Submitted by
Subject:
Funding: Specialized Research Fund for the Doctoral Program of Higher Education under（No.Grant No. 200801451096）, National Natural Science Foundation of China under（No.Grant Nos. 61074073 and 61034005）
Opened online:28 November 2011
Accepted by: none
Citation: Wang Zhanshan,GONG Dawei.Synchronization Stability in an Array of Linearly Coupled Connected Neural Networks with Multiple Delays[OL]. [28 November 2011] http://en.paper.edu.cn/en_releasepaper/content/4451259
 
 
In this paper, synchronization stability problem for arrays of linearly coupled multiple delayed neural networks is studied on the basis of LMI method. The derived results greatly improve and generalize some earlier results. Some key problems between stability of recurrent neural networks and synchronization stability of arrays of coupled neural networks are discussed in some Remarks. An numerical example is used to illustrate the effectiveness of the derived results.
Keywords:Synchronization stability; arrays of coupled neural networks; multiple delays; global stability
 
 
 

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