کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408890 679047 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Exponential stability of impulsive Cohen–Grossberg neural networks with time-varying delays and reaction–diffusion terms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Exponential stability of impulsive Cohen–Grossberg neural networks with time-varying delays and reaction–diffusion terms
چکیده انگلیسی

In this paper, we investigate a class of impulsive Cohen–Grossberg neural networks with time-varying delays and reaction–diffusion terms. By establishing a delay differential inequality with impulsive initial conditions and employing M-matrix theory, we find some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive Cohen–Grossberg neural networks with time-varying delays and reaction–diffusion terms. In particular, the estimate of the exponential convergence rate is also provided, which depends on the system parameters and delays. Two examples are given to illustrate the results obtained here.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 231–240
نویسندگان
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