کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4974224 | 1365523 | 2016 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On dissipative filtering over unreliable communication links for stochastic jumping neural networks based on a unified design method
ترجمه فارسی عنوان
بر روی فیلترهای نفوذپذیری در ارتباطات غیرقابل اعتماد برای شبکههای عصبی ایستادناپذیر بر اساس یک روش طراحی یکپارچه
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
This paper is concerned with the dissipative filtering problem for a class of stochastic jumping neural networks. The model under consideration is subject to unreliable communication links, which result in some network-induced phenomena such as packet dropouts, sensor nonlinearity and unknown/partly known mode information. A set of Bernoulli distributed white sequences are introduced to govern these phenomena occurring in a random way. The aim is to design a mixed filter, which ensures that the filtering error system is extended stochastically dissipative. Such a mixed filter has the advantages of both the model independent filter and the asynchronous filter. With the help of Lyapunov-Krasovskii methodology and an improved matrix decoupling approach, sufficient conditions for the existence of such a filter are presented by solving some convex optimization problems. A numerical example is given to verify the effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Franklin Institute - Volume 353, Issue 17, November 2016, Pages 4583-4601
Journal: Journal of the Franklin Institute - Volume 353, Issue 17, November 2016, Pages 4583-4601
نویسندگان
Mengshen Chen, Hao Shen, Feng Li,