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Exponential stability of stochastic delayed Hopfield neural networks with Markovian switching
Zhu Song #,Shen Yi *,Jiang Feng
Department of Control Science and Engineering, Huazhong University of Science and Technology
*Correspondence author
#Submitted by
Subject:
Funding: This paper was supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China（No.20090142110040）
Opened online:29 June 2010
Accepted by: none
Citation: Zhu Song,Shen Yi,Jiang Feng.Exponential stability of stochastic delayed Hopfield neural networks with Markovian switching[OL]. [29 June 2010] http://en.paper.edu.cn/en_releasepaper/content/4377068
 
 
This paper is concerned with the exponential stability analysis problem for stochastic delayed Hopfield neural networks with Markovian switching. The sufficient conditions to guarantee the almost surely exponential stability and exponential stability in mean square of an equilibrium solution are given. Finally, a numerical example is given to show the usefulness of the proposed criteria.
Keywords:Exponential stability; Generalized Ito formula; Stochastic Hopfield neural networks
 
 
 

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