با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Robust stability analysis of stochastic switched neural networks with parameter uncertainties via state-dependent switching law
تجزیه و تحلیل پایداری قوی شبکه های عصبی روشن تصادفی با عدم قطعیت پارامتر از طریق تغییر قانون وابسته به دولت-2020 The problem of robust stability analysis for a class of stochastic switched neural networks (SSNNs) with
time-varying parametric uncertainties is investigated in this paper. Some sufficient conditions are
derived to guarantee the robust global asymptotical stability in mean square for the uncertain SSNNs
by using state-dependent switching (SDS) method. It is shown that the robust stability of uncertain
SSNNs composed of all unstable subnetworks can be achieved by using the designed SDS law.
Moreover, the proposed sufficient conditions can be easily checked in terms of linear matrix inequalities
(LMIs) for conveniently using Matlab toolbox. A numerical example is provided to demonstrate the effectiveness
of the proposed SDS law. Keywords: Stochastic switched neural networks | Uncertainties | State-dependent switching | Linear matrix inequality | Globally asymptotical stability |
مقاله انگلیسی |