کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
404907 | 677462 | 2006 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Global exponential stability of impulsive high-order BAM neural networks with time-varying delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Global exponential stability of impulsive high-order BAM neural networks with time-varying delays Global exponential stability of impulsive high-order BAM neural networks with time-varying delays](/preview/png/404907.png)
چکیده انگلیسی
In this paper, global exponential stability and exponential convergence are studied for a class of impulsive high-order bidirectional associative memory (BAM) neural networks with time-varying delays. By employing linear matrix inequalities (LMIs) and differential inequalities with delays and impulses, several sufficient conditions are obtained for ensuring the system to be globally exponentially stable. Three illustrative examples are also given at the end of this paper to show the effectiveness of our results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 19, Issue 10, December 2006, Pages 1581–1590
Journal: Neural Networks - Volume 19, Issue 10, December 2006, Pages 1581–1590
نویسندگان
Daniel W.C. Ho, Jinling Liang, James Lam,