کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386149 | 660880 | 2010 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved asymptotic stability criteria for neural networks with interval time-varying 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: Improved asymptotic stability criteria for neural networks with interval time-varying delay Improved asymptotic stability criteria for neural networks with interval time-varying delay](/preview/png/386149.png)
چکیده انگلیسی
The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with time-varying interval delay is investigated. A new class of Lyapunov functional is constructed to derive some novel delay-dependent stability criteria. The obtained criterion is less conservative because free-weighting matrix method and the technique of dealing with some integral terms are considered. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 12, December 2010, Pages 7521–7525
Journal: Expert Systems with Applications - Volume 37, Issue 12, December 2010, Pages 7521–7525
نویسندگان
Junkang Tian, Xiangbing Zhou,