کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1866363 | 1530640 | 2007 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On global exponential stability of high-order neural networks with time-varying delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک و نجوم (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: On global exponential stability of high-order neural networks with time-varying delays On global exponential stability of high-order neural networks with time-varying delays](/preview/png/1866363.png)
چکیده انگلیسی
This Letter investigates the problem of stability analysis for a class of high-order neural networks with time-varying delays. The delays are bounded but not necessarily differentiable. Based on the Lyapunov stability theory together with the linear matrix inequality (LMI) approach and the use of Halanay inequality, sufficient conditions guaranteeing the global exponential stability of the equilibrium point of the considered neural networks are presented. Two numerical examples are provided to demonstrate the effectiveness of the proposed stability criteria.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 366, Issues 1–2, 18 June 2007, Pages 69–78
Journal: Physics Letters A - Volume 366, Issues 1–2, 18 June 2007, Pages 69–78
نویسندگان
Baoyong Zhang, Shengyuan Xu, Yongmin Li, Yuming Chu,