کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412059 679608 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust delay-depent stability criteria for uncertain neural networks with two additive time-varying delay components
ترجمه فارسی عنوان
معیارهای پایدار تأخیر پایدار برای شبکه های عصبی نامعمول با دو مولفه تاخیر زمانی متفاوت متغیر
کلمات کلیدی
ثبات همدلی، شبکه های عصبی، تأخیر متفاوت متغیر زمان
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

This paper considers the problem of robust stability of uncertain neural networks with two additive time varying delay components. The activation functions are monotone nondecreasing with known lower and upper bounds. By constructing of a modified augmented Lyapunov function, some new stability criteria are established in terms of linear matrix inequalities, which is easily solved by various convex optimization techniques. Compared with the existing works, the obtained criteria are less conservative due to reciprocal convex technique and an improved inequality, which provides more accurate upper bound than Jensen inequality for dealing with the cross-term. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 151, Part 2, 5 March 2015, Pages 770–775
نویسندگان
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