کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4630094 1340593 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
چکیده انگلیسی

This paper proposes new results for the existence, uniqueness and global asymptotic stability of the equilibrium point for neural networks with multiple time delays under parameter uncertainties. By using Lyapunov stability theorem and applying homeomorphism mapping theorem, new delay-independent stability criteria are obtained. The obtained results are in terms of network parameters of the neural system only and therefore they can be easily checked. We also present some illustrative numerical examples to demonstrate that our result are new and improve corresponding results derived in the previous literature.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 218, Issue 12, 15 February 2012, Pages 6716–6726
نویسندگان
, ,