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題名 Global synchronization in nonlinearly coupled delayed memristor-based neural networks with excitatory and inhibitory connections
作者 曾睿彬
Tseng, Jui-Pin
貢獻者 應數系
日期 2018-09
上傳時間 28-十一月-2018 17:43:58 (UTC+8)
摘要 This investigation establishes the global synchronization of an array of coupled memristor-based neural networks with delays. The coupled networks that are considered can incorporate both the internal delay in each individual network and the transmission delay across different networks. The coupling scheme, which consists of a nonlinear term and a sign term, is rather general. In particular, it can be asymmetric, and admits the coexistence of excitatory and inhibitory connections. Based on an iterative approach, the problem of synchronization is transformed into solving a corresponding linear system of algebraic equations. Subsequently, the respective synchronization criteria, which depend on whether the transmission delay exists, are derived respectively. Three examples are given to illustrate the effectiveness of the theories presented in this paper. The synchronization of the systems in two examples cannot be handled by existing techniques.
關聯 Journal of the Franklin Institute, Vol.335, No.14, pp.6549-6578
資料類型 article
DOI https://doi.org/10.1016/j.jfranklin.2018.06.026
dc.contributor 應數系-
dc.creator (作者) 曾睿彬zh_TW
dc.creator (作者) Tseng, Jui-Pinen_US
dc.date (日期) 2018-09-
dc.date.accessioned 28-十一月-2018 17:43:58 (UTC+8)-
dc.date.available 28-十一月-2018 17:43:58 (UTC+8)-
dc.date.issued (上傳時間) 28-十一月-2018 17:43:58 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/121152-
dc.description.abstract (摘要) This investigation establishes the global synchronization of an array of coupled memristor-based neural networks with delays. The coupled networks that are considered can incorporate both the internal delay in each individual network and the transmission delay across different networks. The coupling scheme, which consists of a nonlinear term and a sign term, is rather general. In particular, it can be asymmetric, and admits the coexistence of excitatory and inhibitory connections. Based on an iterative approach, the problem of synchronization is transformed into solving a corresponding linear system of algebraic equations. Subsequently, the respective synchronization criteria, which depend on whether the transmission delay exists, are derived respectively. Three examples are given to illustrate the effectiveness of the theories presented in this paper. The synchronization of the systems in two examples cannot be handled by existing techniques.en_US
dc.format.extent 1331782 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of the Franklin Institute, Vol.335, No.14, pp.6549-6578-
dc.title (題名) Global synchronization in nonlinearly coupled delayed memristor-based neural networks with excitatory and inhibitory connectionsen_US
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1016/j.jfranklin.2018.06.026-
dc.doi.uri (DOI) https://doi.org/10.1016/j.jfranklin.2018.06.026-