کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1892475 1043977 2006 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust stability analysis of generalized neural networks with discrete and distributed time delays
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک آماری و غیرخطی
پیش نمایش صفحه اول مقاله
Robust stability analysis of generalized neural networks with discrete and distributed time delays
چکیده انگلیسی

This paper is concerned with the problem of robust global stability analysis for generalized neural networks (GNNs) with both discrete and distributed delays. The parameter uncertainties are assumed to be time-invariant and bounded, and belong to given compact sets. The existence of the equilibrium point is first proved under mild conditions, assuming neither differentiability nor strict monotonicity for the activation function. Then, by employing a Lyapunov–Krasovskii functional, the addressed stability analysis problem is converted into a convex optimization problem, and a linear matrix inequality (LMI) approach is utilized to establish the sufficient conditions for the globally robust stability for the GNNs, with and without parameter uncertainties. These conditions can be readily checked by utilizing the Matlab LMI toolbox. A numerical example is provided to demonstrate the usefulness of the proposed global stability condition.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chaos, Solitons & Fractals - Volume 30, Issue 4, November 2006, Pages 886–896
نویسندگان
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