کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408899 679047 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays
چکیده انگلیسی

This paper is concerned with the problem of stability analysis for a class of discrete-time recurrent neural networks with time-varying delays. Under a weak assumption on the activation functions and using a new Lyapunov functional, a delay-dependent condition guaranteeing the global exponential stability of the concerned neural network is obtained in terms of a linear matrix inequality. It is shown that this stability condition is less conservative than some previous ones in the literature. When norm-bounded parameter uncertainties appear in a delayed discrete-time recurrent neural network, a delay-dependent robust exponential stability criterion is also presented. Numerical examples are provided to demonstrate the effectiveness of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 321–330
نویسندگان
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