کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408686 | 679038 | 2010 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved exponential stability criteria for discrete-time neural networks with time-varying delay
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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: Improved exponential stability criteria for discrete-time neural networks with time-varying delay Improved exponential stability criteria for discrete-time neural networks with time-varying delay](/preview/png/408686.png)
چکیده انگلیسی
The problem of robust exponential stability for a class of discrete-time recurrent neural networks with time-varying delay is investigated. By constructing a new augmented Lyapunov–Krasovskii functional, some new delay-dependent stable criteria are obtained. These criteria are formulated in the forms of linear matrix inequality (LMI). Compared with some previous results, the new conditions obtained in this paper are less conservative. Three numerical examples are provided to demonstrate the less conservatism and effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 4–6, January 2010, Pages 975–985
Journal: Neurocomputing - Volume 73, Issues 4–6, January 2010, Pages 975–985
نویسندگان
Zixin Liu, Shu Lü, Shouming Zhong, Mao Ye,