کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4632975 1340659 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays
چکیده انگلیسی

In this paper, the mean square exponential stability is investigated for a class of discrete-time stochastic neural networks with time-varying delays and norm-bounded uncertainties. Based on Lyapunov stability theory and stochastic approaches, delay-dependent criteria are derived to ensure the robust exponential stability in the mean square for the addressed system. Meantime, by using the numerically efficient Matlab LMI Toolbox, a example is presented to show the usefulness of the derived LMI-based stability condition.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 209, Issue 2, 15 March 2009, Pages 305–313
نویسندگان
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