کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4975882 1365595 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved exponential stability analysis for delayed recurrent neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Improved exponential stability analysis for delayed recurrent neural networks
چکیده انگلیسی
In this paper, we investigate the problem of global exponential stability analysis for a class of delayed recurrent neural networks. This class includes Hopfield neural networks and cellular neural networks with interval time-delays. Improved exponential stability condition is derived by employing new Lyapunov-Krasovskii functional and the integral inequality. The developed stability criteria are delay dependent and characterized by linear matrix inequalities (LMIs). The developed results are less conservative than previous published ones in the literature, which are illustrated by representative numerical examples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Franklin Institute - Volume 348, Issue 2, March 2011, Pages 201-211
نویسندگان
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