pth moment stability analysis of stochastic recurrent neural networks with time-varying delays

  • Authors:

  • Chuangxia Huang;Yigang He;Lihong Huang;Wenji Zhu

  • Affiliations:

  • College of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha, Hunan 410076, PR China and College of Electrical and Information Engineering, Hunan Universit ...;College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, PR China;College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, PR China;College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, PR China

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2008

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Abstract

This paper addresses, in great detail, the issue of pth moment exponential stability of stochastic recurrent neural networks with time-varying delays. With the help of the Dini-derivative of the expectation of V(t,X(t)) ''along'' the solution X(t) of the model and the technique of Halanay-type inequality, some novel sufficient conditions on pth moment exponential stability of the trivial solution has been established. Results of the development as presented in this paper are more general than those reported in some previously published papers. An example is also given to illustrate that our results are correct and effectiveness.