کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1894366 1044168 2006 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust synchronization of delayed neural networks based on adaptive control and parameters identification
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک آماری و غیرخطی
پیش نمایش صفحه اول مقاله
Robust synchronization of delayed neural networks based on adaptive control and parameters identification
چکیده انگلیسی

This paper investigates synchronization dynamics of delayed neural networks with all the parameters unknown. By combining the adaptive control and linear feedback with the updated law, some simple yet generic criteria for determining the robust synchronization based on the parameters identification of uncertain chaotic delayed neural networks are derived by using the invariance principle of functional differential equations. It is shown that the approaches developed here further extend the ideas and techniques presented in recent literature, and they are also simple to implement in practice. Furthermore, the theoretical results are applied to a typical chaotic delayed Hopfied neural networks, and numerical simulation also demonstrate the effectiveness and feasibility of the proposed technique.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chaos, Solitons & Fractals - Volume 27, Issue 4, February 2006, Pages 905–913
نویسندگان
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