کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
413000 | 679708 | 2009 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays](/preview/png/413000.png)
چکیده انگلیسی
In this paper, a cellular neural network whose state variables are governed by stochastic non-linear integro-differential equations is investigated. The considered delays are distributed continuously over unbounded intervals. By applying the Lyapunov functional method, the semimartingale convergence theorem, and some inequality technique, we obtain some sufficient criteria to check the almost sure exponential stability of the system, which generalizes and improves some earlier publications. Two examples are also given to demonstrate our results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3352–3356
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3352–3356
نویسندگان
Chuangxia Huang, Jinde Cao,