کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
412998 | 679708 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
New results on robust exponential stability for discrete recurrent neural networks with time-varying 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: New results on robust exponential stability for discrete recurrent neural networks with time-varying delays New results on robust exponential stability for discrete recurrent neural networks with time-varying delays](/preview/png/412998.png)
چکیده انگلیسی
This paper is concerned with the problem of robust exponential stability analysis for uncertain discrete recurrent neural networks with time-varying delays. In terms of linear matrix inequality (LMI) approach, some novel stability conditions are proposed via a new Lyapunov function. Neither any model transformation nor free-weighting matrices are employed in our theoretical derivation. The established stability criteria significantly improve and simplify some existing stability conditions. Numerical examples are given to demonstrate the effectiveness of the proposed methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3337–3342
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3337–3342
نویسندگان
Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou,