کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4631262 | 1340619 | 2010 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved stability analysis on delayed neural networks with linear fractional uncertainties
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Improved stability analysis on delayed neural networks with linear fractional uncertainties Improved stability analysis on delayed neural networks with linear fractional uncertainties](/preview/png/4631262.png)
چکیده انگلیسی
The paper is concerned with robust stability for generalized neural networks (GNNs) with both interval time-varying delay and time-varying distributed delay. Through partitioning the time-delay, choosing one augmented Lyapunov–Krasovskii functional, employing free-weighting matrix method and convex combination, the sufficient conditions are obtained to guarantee the robust stability of the concerned systems. These stability criteria are presented in terms of linear matrix inequalities (LMIs) and can be easily checked. Finally, three numerical examples are given to demonstrate the effectiveness and reduced conservatism of the obtained results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 217, Issue 7, 1 December 2010, Pages 3596–3606
Journal: Applied Mathematics and Computation - Volume 217, Issue 7, 1 December 2010, Pages 3596–3606
نویسندگان
Wei Qian, Tao Li, Shen Cong, Shumin Fei,