کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
390934 | 661320 | 2009 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Takagi–Sugeno (TS) fuzzy models are often used to represent complex nonlinear systems by means of fuzzy sets and fuzzy reasoning applied to a set of linear sub-models. In this paper, the global robust stability problem of TS fuzzy Hopfield neural networks with parameter uncertainties and stochastic perturbations is investigated. Based on the Lyapunov method and stochastic analysis approaches, the delay-dependent stability criterion is derived in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using existing LMI optimization techniques. A simulation example is provided to illustrate the effectiveness of the developed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 160, Issue 24, 16 December 2009, Pages 3503-3517
Journal: Fuzzy Sets and Systems - Volume 160, Issue 24, 16 December 2009, Pages 3503-3517