pth Moment Exponential Stability of Stochastic Cohen-Grossberg Neural Networks With Time-varying Delays

Authors:
Enwen Zhu;Haomin Zhang;Yong Wang;Jiezhong Zou;Zheng Yu;Zhenting Hou
Affiliations:
School of Mathematics and Computing Sciences, Changsha University of Science and Technology, Changsha, Hunan, P. R. China 410076;School of Mathematics, Central South University, Changsha, Hunan, P. R. China 410075;Department of Mathematics, Harbin Institute of Technology, Harbin, P. R. China 150001;School of Mathematics, Central South University, Changsha, Hunan, P. R. China 410075;School of Mathematics, Central South University, Changsha, Hunan, P. R. China 410075;School of Mathematics, Central South University, Changsha, Hunan, P. R. China 410075
Venue:
Neural Processing Letters
Year:
2007

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Abstract

The pth moment exponential stability of stochastic Cohen-Grossberg with time-varying delays is investigated in this paper. A set of novel sufficient conditions on pth moment exponential stability are given for the considered system by using the well-known Razumikhin-type theorem. Finally, two examples with their numerical simulations are provided to show the correctness of our analysis.