کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11020321 1717383 2019 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions
ترجمه فارسی عنوان
تجزیه و تحلیل تضعیف شدید برای شبکه های عصبی نامشخص با تاخیرهای متفاوت افزایشی زمان و توابع فعال سازی عمومی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
This paper deals with the problem of delay-dependent robust dissipativity analysis for uncertain neural networks with additive time varying delays by using a more general activation function approach. Different from previous literature, some sufficient information on neuron activation function and additive time-varying delays have been considered. By constructing suitable Lyapunov-Krasovskii functionals (LKFs) with some new integral terms, and estimating their derivative by using newly developed single integral inequality that includes Jensen's inequality and Wirtinger-based integral inequality as a special case. A new delay-dependent less conservative global asymptotic stability and dissipative criteria have been established in the form of linear matrix inequalities (LMIs) technique. The effectiveness and advantages of the proposed results are verified by available standard numerical packages.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematics and Computers in Simulation - Volume 155, January 2019, Pages 201-216
نویسندگان
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