کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
412999 | 679708 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay
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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: Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay](/preview/png/412999.png)
چکیده انگلیسی
The problem of robust global exponential stability is investigated for a class of stochastic uncertain discrete-time recurrent neural networks with time delay. In this paper, the midpoint of the time delay's variation interval is introduced, and the variation interval is divided into two subintervals. Then, by constructing a new Lyapunov–Krasovskii functional and checking its variation in the two subintervals, respectively, some novel delay-dependent stability criteria for the addressed neural networks are derived. Numerical examples are provided to show that the achieved conditions are less conservative than some existing ones in the literature.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3343–3351
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3343–3351
نویسندگان
Yijun Zhang, Shengyuan Xu, Zhenping Zeng,