th moment exponential stability of stochastic recurrent neural networks with time-varying delays

• DOI: 10.1016/j.nonrwa.2006.06.009
• Publication Date: 2006-09-06T14:32:41Z
• Authors: Yonghui Sun; Jinde Cao
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

In this paper, the issue of pth moment exponential stability of stochastic recurrent neural network with time-varying delays is investigated in detail. Employing the method of variation parameter and inequality techniques, several sufficient conditions ensuring pth moment exponential stability are obtained. Compared with the previous methods, our method does not resort to any Lyapunov function, and the results derived in this paper improve and generalize some earlier works reported in the literature. Two numerical examples are given to illustrate the effectiveness of our results.