کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409107 679053 2008 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global exponential estimates of stochastic interval neural networks with discrete and distributed delays
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Global exponential estimates of stochastic interval neural networks with discrete and distributed delays
چکیده انگلیسی

This paper is concerned with the robust exponential estimating problem for a class of neural networks with discrete and distributed delays. The considered neural networks are disturbed by Wiener processes, and possess interval uncertainties in the system parameters. A sufficient condition, which does not only guarantee the global exponential stability but also provides more exact characterizations on the decay rate and the coefficient, is established in terms of a novel Lyapunov–Krasovskii functional equipped with appropriately constructed exponential terms and the linear matrix inequality (LMI) technique. The estimates of the decay rate and the coefficient are obtained by solving a set of LMIs, which can be implemented easily by effective algorithms. In addition, slack matrices are introduced to reduce the conservatism of the condition. A numerical example is provided to illustrate the effectiveness of the theoretical results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 13–15, August 2008, Pages 2950–2963
نویسندگان
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