کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
403845 677361 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Finite-time synchronization for memristor-based neural networks with time-varying delays
ترجمه فارسی عنوان
هماهنگ سازی زمان محدود برای شبکه های عصبی مبتنی بر ماریستر با تاخیر زمانی متفاوت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Memristive network exhibits state-dependent switching behaviors due to the physical properties of memristor, which is an ideal tool to mimic the functionalities of the human brain. In this paper, finite-time synchronization is considered for a class of memristor-based neural networks with time-varying delays. Based on the theory of differential equations with discontinuous right-hand side, several new sufficient conditions ensuring the finite-time synchronization of memristor-based chaotic neural networks are obtained by using analysis technique, finite time stability theorem and adding a suitable feedback controller. Besides, the upper bounds of the settling time of synchronization are estimated. Finally, a numerical example is given to show the effectiveness and feasibility of the obtained results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 69, September 2015, Pages 20–28
نویسندگان
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