کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1866457 | 1530649 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On the synchronization of neural networks containing time-varying delays and sector nonlinearity
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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 the synchronization of neural networks containing time-varying delays and sector nonlinearity On the synchronization of neural networks containing time-varying delays and sector nonlinearity](/preview/png/1866457.png)
چکیده انگلیسی
We present a systematic design procedure for synchronization of neural networks subject to time-varying delays and sector nonlinearity in the control input. Based on the drive-response concept and the Lyapunov stability theorem, a memoryless decentralized control law is proposed which guarantees exponential synchronization even when input nonlinearity is present. The supplementary requirement that the time-derivative of time-varying delays must be smaller than one is released for the proposed control scheme. A four-dimensional Hopfield neural network with time-varying delays is presented as the illustrative example to demonstrate the effectiveness of the proposed synchronization scheme.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 361, Issues 1–2, 22 January 2007, Pages 70–77
Journal: Physics Letters A - Volume 361, Issues 1–2, 22 January 2007, Pages 70–77
نویسندگان
Jun-Juh Yan, Jui-Sheng Lin, Meei-Ling Hung, Teh-Lu Liao,