کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4632975 | 1340659 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays](/preview/png/4632975.png)
چکیده انگلیسی
In this paper, the mean square exponential stability is investigated for a class of discrete-time stochastic neural networks with time-varying delays and norm-bounded uncertainties. Based on Lyapunov stability theory and stochastic approaches, delay-dependent criteria are derived to ensure the robust exponential stability in the mean square for the addressed system. Meantime, by using the numerically efficient Matlab LMI Toolbox, a example is presented to show the usefulness of the derived LMI-based stability condition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 209, Issue 2, 15 March 2009, Pages 305–313
Journal: Applied Mathematics and Computation - Volume 209, Issue 2, 15 March 2009, Pages 305–313
نویسندگان
Mengzhuo Luo, Shouming Zhong, Rongjun Wang, Wei Kang,