کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11012492 | 1798846 | 2018 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Synchronization-based passivity of partially coupled neural networks with event-triggered communication
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, synchronization-based passivity of coupled neural networks (CNNs) with partial and event-triggered communication is discussed. Event conditions are designed based on the partial couplings among neural networks. A regrouping method is introduced to build a channel Laplacian matrix which contains the structural information of both couplings and channels. Based on such new matrix, a novel error system is established for the purpose of synchronizing the CNNs. A sufficient condition for solving the synchronization problem of partially coupled neural networks is given. Moreover, the same condition can also verify the passivity of networks when noise is nonzero. Finally, a numerical example demonstrates the effectiveness of the control mechanism.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 319, 30 November 2018, Pages 134-143
Journal: Neurocomputing - Volume 319, 30 November 2018, Pages 134-143
نویسندگان
Chi Huang, Wei Wang, Jinde Cao, Jianquan Lu,