کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4632781 1631835 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New results for global stability of a class of neutral-type neural systems with time delays
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
New results for global stability of a class of neutral-type neural systems with time delays
چکیده انگلیسی

This paper studies the global convergence properties of a class of neutral-type neural networks with discrete time delays. This class of neutral systems includes Cohen–Grossberg neural networks, Hopfield neural networks and cellular neural networks. Based on the Lyapunov stability theorems, some delay independent sufficient conditions for the global asymptotic stability of the equilibrium point for this class of neutral-type systems are derived. It is shown that the results presented in this paper for neutral-type delayed neural networks are the generalization of a recently reported stability result. A numerical example is also given to demonstrate the applicability of our proposed stability criteria.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 210, Issue 2, 15 April 2009, Pages 564–570
نویسندگان
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