کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1707008 1012494 2009 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global robust exponential stability of discrete-time interval BAM neural networks with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Global robust exponential stability of discrete-time interval BAM neural networks with time-varying delays
چکیده انگلیسی

This paper is concerned with global robust exponential stability for a class of discrete-time interval bidirectional associative memory (BAM) neural networks with time-varying delays. By employing the Lyapunov functional and linear matrix inequality (LMI) approach, a new sufficient criterion is proposed for the global robust exponential stability of discrete-time BAM neural networks which contain uncertain parameters with their values being bounded. The proposed LMI-based results are computationally efficient as they can be easily checked via the LMI toolbox. Finally, two examples are provided to demonstrate the effectiveness of the obtained results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 33, Issue 3, March 2009, Pages 1270–1284
نویسندگان
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