کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1706093 | 1012450 | 2011 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities](/preview/png/1706093.png)
چکیده انگلیسی
The stochastic finite-time boundedness problem is considered for a class of uncertain Markovian jumping neural networks (MJNNs) that possess partially known transition jumping parameters. The transition of the jumping parameters is governed by a finite-state Markov process. By selecting the appropriate stochastic Lyapunov–Krasovskii functional, sufficient conditions of stochastic finite time boundedness of MJNNs are presented and proved. The boundedness criteria are formulated in the form of linear matrix inequalities and the designed algorithms are described as optimization ones. Simulation results illustrate the effectiveness of the developed approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 35, Issue 6, June 2011, Pages 2631–2638
Journal: Applied Mathematical Modelling - Volume 35, Issue 6, June 2011, Pages 2631–2638
نویسندگان
Shuping He, Fei Liu,