کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410843 679166 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Further result on asymptotic stability criterion of neural networks with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Further result on asymptotic stability criterion of neural networks with time-varying delays
چکیده انگلیسی

In this paper, the global asymptotic stability problem is dealt with for a class of neural networks (NNs) with time-varying delays. The activation functions are assumed to be neither monotonic, nor differentiable, nor bounded. By constructing an augmented Lyapunov functional which contains an integral term of neuron state vector, an improved delay-dependent stability criterion for delay NNs is established in terms of linear matrix inequalities (LMIs). It is shown that the obtained criterion can provide less conservative results than some existing ones. Numerical examples are given to demonstrate the applicability of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 1–3, December 2007, Pages 439–447
نویسندگان
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