کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1138688 | 1489180 | 2009 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Global asymptotic stability for neural network models with distributed delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Global asymptotic stability for neural network models with distributed delays Global asymptotic stability for neural network models with distributed delays](/preview/png/1138688.png)
چکیده انگلیسی
In this paper, we obtain the global asymptotic stability of the zero solution of a general nn-dimensional delayed differential system, by imposing a condition of dominance of the non-delayed terms which cancels the delayed effect.We consider several delayed differential systems in general settings, which allow us to study, as subclasses, the well-known neural network models of Hopfield, Cohn–Grossberg, bidirectional associative memory, and static with S-type distributed delays. For these systems, we establish sufficient conditions for the existence of a unique equilibrium and its global asymptotic stability, without using the Lyapunov functional technique. Our results improve and generalize some existing ones.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical and Computer Modelling - Volume 50, Issues 1–2, July 2009, Pages 81–91
Journal: Mathematical and Computer Modelling - Volume 50, Issues 1–2, July 2009, Pages 81–91
نویسندگان
José J. Oliveira,