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Title:	Global synchronization in nonlinearly coupled delayed memristor-based neural networks with excitatory and inhibitory connections
Authors:	曾睿彬 Tseng, Jui-Pin
Contributors:	應數系
Date:	2018-09
Issue Date:	2018-11-28 17:43:58 (UTC+8)
Abstract:	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.
Relation:	Journal of the Franklin Institute, Vol.335, No.14, pp.6549-6578
Data Type:	article
DOI 連結:	https://doi.org/10.1016/j.jfranklin.2018.06.026
DOI:	10.1016/j.jfranklin.2018.06.026
Appears in Collections:	[應用數學系] 期刊論文

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