کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1864707 | 1037753 | 2008 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust exponential stability for uncertain stochastic neural networks with discrete and distributed time-varying delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک و نجوم (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Robust exponential stability for uncertain stochastic neural networks with discrete and distributed time-varying delays Robust exponential stability for uncertain stochastic neural networks with discrete and distributed time-varying delays](/preview/png/1864707.png)
چکیده انگلیسی
This Letter deals with the problem of delay-dependent robust exponential stability in mean square for a class of uncertain stochastic Hopfield neural networks with discrete and distributed time-varying delays. Based on Lyapunov–Krasovskii functional and the stochastic stability theory, delay-dependent stability criteria are obtained in terms of linear matrix inequalities (LMIs). Because of introducing some free-weighting matrices to develop the stability criteria, the proposed stability conditions have less conservatism. Numerical examples are given to illustrate the effectiveness of our results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 372, Issue 19, 5 May 2008, Pages 3385–3394
Journal: Physics Letters A - Volume 372, Issue 19, 5 May 2008, Pages 3385–3394
نویسندگان
Hongyi Li, Bing Chen, Qi Zhou, Shengle Fang,