کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1861967 1530636 2007 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک و نجوم (عمومی)
پیش نمایش صفحه اول مقاله
A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays
چکیده انگلیسی

In this Letter, the analysis problem for the existence and stability of periodic solutions is investigated for a class of general discrete-time recurrent neural networks with time-varying delays. For the neural networks under study, a generalized activation function is considered, and the traditional assumptions on the boundedness, monotony and differentiability of the activation functions are removed. By employing the latest free-weighting matrix method, an appropriate Lyapunov–Krasovskii functional is constructed and several sufficient conditions are established to ensure the existence, uniqueness, and globally exponential stability of the periodic solution for the addressed neural network. The conditions are dependent on both the lower bound and upper bound of the time-varying time delays. Furthermore, the conditions are expressed in terms of the linear matrix inequalities (LMIs), which can be checked numerically using the effective LMI toolbox in MATLAB. Two simulation examples are given to show the effectiveness and less conservatism of the proposed criteria.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 368, Issues 1–2, 13 August 2007, Pages 134–145
نویسندگان
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