کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6865867 | 678089 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel scheme for synchronization control of stochastic neural networks with multiple time-varying delays
ترجمه فارسی عنوان
یک طرح ریاضی برای کنترل هماهنگ سازی شبکه های عصبی تصادفی با تاخیرهای متفاوت چند زمانه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper deals with the synchronization problem for multiple time-varying delayed neural networks with the noise of Brownian motion. When the neural networks are affected by multiple time-varying delays, it is hard to deal with the synchronization for a large number of interconnected neuron units in such networks. In order to solve this problem which associates with complicated mathematic computing, a novel method is proposed to design the controller that guarantees the error system to be stable. Moreover, by using the Lyapunov-Krasovskii functional (LKF) method, stochastic analysis technique and matrix theory, a sufficient condition based on linear matrix inequality is obtained, thus the drive system can synchronize the response system. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed synchronization schemes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 159, 2 July 2015, Pages 50-57
Journal: Neurocomputing - Volume 159, 2 July 2015, Pages 50-57
نویسندگان
Xianghui Zhou, Wuneng Zhou, Jun Yang, Jie Hu,