کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4946960 | 1439561 | 2017 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Passivity of memristor-based recurrent neural networks with multi-proportional delays
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Passivity of memristor-based recurrent neural networks (MRNNs) with multi-proportional delays is investigated in this paper. Here, proportional delay is an unbounded time-varying delay, which is distinct from constant delay, bounded time-varying delay and distributed delay. In the sense of Filippov solution, we present several new sufficient conditions for the passivity of MRNNs with multi-proportional delays, which are delay-independent and delay-dependent, by establishing appropriate Lyapunov functionals and utilizing inequality techniques. The passivity criteria here are presented in the form of linear matrix inequalities (LMIs). Finally, a numerical example and its simulations are given to illustrate the accuracy and validation of the obtained results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 266, 29 November 2017, Pages 485-493
Journal: Neurocomputing - Volume 266, 29 November 2017, Pages 485-493
نویسندگان
Lijuan Su, Liqun Zhou,