کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
839033 | 908380 | 2009 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Design of exponential state estimator for neural networks with distributed delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Design of exponential state estimator for neural networks with distributed delays Design of exponential state estimator for neural networks with distributed delays](/preview/png/839033.png)
چکیده انگلیسی
In this letter, the delay-dependent state estimation problem for recurrent neural networks with both time-varying and distributed time-varying delays is investigated. Through available output measurements, a delay-dependent criterion is established to estimate the neuron states such that the dynamics of the estimation error is globally exponentially stable. The derivative of a time-varying delay can take any value and the activation functions are assumed to be neither monotonic, nor differentiable, which are more general than the recently commonly used Lipschitz conditions. Finally, two illustrative examples are given to demonstrate the usefulness of the obtained condition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nonlinear Analysis: Real World Applications - Volume 10, Issue 2, April 2009, Pages 1229–1242
Journal: Nonlinear Analysis: Real World Applications - Volume 10, Issue 2, April 2009, Pages 1229–1242
نویسندگان
Tao Li, Shu-min Fei, Qing Zhu,