کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410474 | 679146 | 2009 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays](/preview/png/410474.png)
In this paper, the stability analysis problem for a new class of discrete-time neural networks with randomly discrete and distributed time-varying delays has been investigated. Compared with the previous work, the distributed delay is assumed to be time-varying. Moreover, the effects of both variation range and probability distribution of mixed time-delays are taken into consideration in the proposed approach. The distributed time-varying delays and coupling term in complex networks are considered by introducing two Bernoulli stochastic variables. By using some novel analysis techniques and Lyapunov–Krasovskii function, some delay-distribution-dependent conditions are derived to ensure that the discrete-time complex network with randomly coupling term and distributed time-varying delay is synchronized in mean square. A numerical example is provided to demonstrate the effectiveness and the applicability of the proposed method.
Journal: Neurocomputing - Volume 72, Issues 16–18, October 2009, Pages 3830–3838