Stability and Stabilization on Generalized Delay Stochastic Neural Network with Distributed Parameter

Inner stability and stabilization of Cohen-Grossberg generalized delay stochastic neural network with distributed parameter are discussed. The main method adopted is, combining inequality techniques, to apply Ito differential formula to the constructed average function with respect to spatial variab...

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Bibliographic Details
Published inWuhan University journal of natural sciences Vol. 10; no. 5; pp. 823 - 827
Main Authors Qi, Luo, Fei-qi, Deng, Jun-dong, Bao
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Nature B.V 2005
College of Science, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China%Institute of Automatic Science and Control Engineering,South China University of Technology, Guangzhou 510640,Guangdong, China%Department of Mathematics, Inner Mongolia Normal University, Huhhot 010022, Inner Mongolia, China
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Summary:Inner stability and stabilization of Cohen-Grossberg generalized delay stochastic neural network with distributed parameter are discussed. The main method adopted is, combining inequality techniques, to apply Ito differential formula to the constructed average function with respect to spatial variables along the system considered under the integral operator. Some sufficient conditions are given.
Bibliography:O231.4
TP183
generalized delay stochastic neural network
distributed parameter; generalized delay stochastic neural network; stability and stabilization
stability and stabilization
42-1405/N
distributed parameter
ISSN:1007-1202
1993-4998
DOI:10.1007/bf02832420