کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9877761 | 1534098 | 2005 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An LMI approach to asymptotical stability of multi-delayed neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: An LMI approach to asymptotical stability of multi-delayed neural networks An LMI approach to asymptotical stability of multi-delayed neural networks](/preview/png/9877761.png)
چکیده انگلیسی
In this paper, some criteria are derived for global asymptotic stability of a class of neural networks with multiple constant or time-varying delays. Based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality (LMI) approach, some delay-independent criteria for neural networks with multiple constant delays and delay-dependent criteria for neural networks with multiple time-varying delays are provided to guarantee global asymptotic stability of these networks. The main results are generalizations of some recent results reported in the literature.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica D: Nonlinear Phenomena - Volume 200, Issues 1â2, 1 January 2005, Pages 139-155
Journal: Physica D: Nonlinear Phenomena - Volume 200, Issues 1â2, 1 January 2005, Pages 139-155
نویسندگان
Xiaofeng Liao, Chuandong Li,