کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
838450 908359 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Exponential stability of recurrent neural networks with time-varying discrete and distributed delays
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Exponential stability of recurrent neural networks with time-varying discrete and distributed delays
چکیده انگلیسی

This paper is concerned with the problems of determining the global exponential stability and estimating the exponential-convergence rate for a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. By constructing an appropriate Lyapunov–Krasovskii functional and employing linear matrix inequality (LMI) technique, new delay-dependent exponential-stability criteria are derived in term of LMIs and the exponential-convergence rate is estimated. Numerical examples are given to show the effectiveness and improvement of the obtained results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nonlinear Analysis: Real World Applications - Volume 10, Issue 4, August 2009, Pages 2581–2589
نویسندگان
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