کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4627332 | 1631809 | 2014 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Global stochastic stability analysis for stochastic neural networks with infinite delay and Markovian switching
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Global stochastic stability analysis for stochastic neural networks with infinite delay and Markovian switching Global stochastic stability analysis for stochastic neural networks with infinite delay and Markovian switching](/preview/png/4627332.png)
چکیده انگلیسی
This paper focuses on the stochastic stability for a novel kind of stochastic neural networks with infinite delay and Markovian switching. By using the Lyapunov method, stochastic analysis technique and M-matrix theory, some simple and easily testable sufficient conditions are presented to ensure the trivial solution is stochastically stable, stochastically asymptotically stable, and globally stochastically asymptotically stable, respectively. As a subsequent result, we develop the conditions that guarantee global stochastic asymptotic stability for stochastic neural networks with infinite delay, as well as global asymptotic stability for neural networks with infinite delay. From the perspective of theory, the derived stability criteria include some existing ones as its special cases, and are thus less conservative. Finally, two examples are given to demonstrate the applicability and effectiveness of the theoretical theorems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 245, 15 October 2014, Pages 53-65
Journal: Applied Mathematics and Computation - Volume 245, 15 October 2014, Pages 53-65
نویسندگان
Ying Guo, Huan Su, Xiaohua Ding, Ke Wang,