کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8960147 | 1646381 | 2018 | 51 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Generalized passivity of coupled neural networks with directed and undirected topologies
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The generalized passivity is discussed for coupled neural networks (CNNs) with directed and undirected topologies, respectively. Firstly, some generalized passivity definitions are proposed for general systems, in which output and input vectors may have different dimensions. By exploiting concepts of passivity and matrix theory, several criteria are established to guarantee the generalized passivity of CNNs with directed and undirected topologies. Â However, Â in many circumstances, CNNs with known coupling weights is not passive. Therefore, some control schemes for updating the coupling weights are also presented. By using these adaptive control schemes, several criteria for ensuring network passivity are derived. In addition, two simulation examples are presented to show the correctness of proposed passivity criteria.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 314, 7 November 2018, Pages 371-385
Journal: Neurocomputing - Volume 314, 7 November 2018, Pages 371-385
نویسندگان
Shun-Yan Ren, Jin-Liang Wang, Jigang Wu,