کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410586 679150 2012 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved stability criteria for uncertain delayed neural networks
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Improved stability criteria for uncertain delayed neural networks
چکیده انگلیسی

This paper is concerned with the stability problem of uncertain delayed neural networks. The system possesses time-varying and norm-bounded uncertainties. An improved integral inequality lemma is proposed to handle the cross-product terms occurred in the derivative of Lyapunov functional. By using the new lemma and a novel delay decomposition approach, new robust stability criteria for time varying delay neural networks with structured linear fractional form uncertainties are proposed in terms of LMIs. The sufficient conditions obtained in this paper are less conservative than those in the former literature.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 98, 3 December 2012, Pages 34–39
نویسندگان
, , ,