کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5004374 1461196 2015 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New passivity criteria for memristive uncertain neural networks with leakage and time-varying delays
ترجمه فارسی عنوان
معیارهای انعطاف پذیری جدید برای شبکه های عصبی مصنوعی مبهم با نشت و تاخیر زمانی متغیر است
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
In this paper, the problem of passivity analysis is studied for memristor-based uncertain neural networks with leakage and time-varying delays. By combining differential inclusions with set-valued maps, the system of memristive neural networks is changed into the conventional one. By adding a triple quadratic integral and relaxing the requirement for the positive definiteness of some matrices, a proper Lyapunov-Krasovskii functional is constructed. Based on the establishment of the novel Lyapunov-Krasovskii functional, the new passivity criteria are derived by mainly applying Wirtinger-based double integral inequality, S-procedure and so on. Moreover, the conservatism of passivity conditions can be reduced. Finally, four numerical examples are given to show the effectiveness and less conservatism of the proposed criteria.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISA Transactions - Volume 59, November 2015, Pages 133-148
نویسندگان
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