کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
756085 896108 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Delay decomposition approach to stability analysis for uncertain fuzzy Hopfield neural networks with time-varying delay
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Delay decomposition approach to stability analysis for uncertain fuzzy Hopfield neural networks with time-varying delay
چکیده انگلیسی

This paper is concerned with delay-dependent stability analysis for uncertain Tagaki–Sugeno (T-S) fuzzy Hopfield neural networks (UFHNNs) with time-varying delay. By decomposing the delay interval into multiple equidistant subintervals, Lyapunov–Krasovskii functionals (LKFs) are constructed on these intervals. Employing these LKFs, a new stability criterion is proposed in terms of Linear Matrix Inequalities (LMIs), which is dependent on the size of the time delay and can be easily verified by MATLAB LMI toolbox. Numerical examples are given to illustrative the effectiveness of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 16, Issue 4, April 2011, Pages 2098–2108
نویسندگان
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