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Title: Inhomogeneous lattice dynamical systems and the boundary effect
Authors: 班榮超
Ban, Jung-Chao
Chang, Chih-Hung
Contributors: 應數系
Keywords: inhomogeneous lattice dynamical systems;topological entropy;boundary value problem;multiplicative shift spaces;cellular neural networks
Date: 2013-12
Issue Date: 2020-06-22 13:41:28 (UTC+8)
Abstract: This study considers the dynamics of cellular neural network-based inhomogeneous lattice dynamical systems (CNN-based ILDS). The influence of three kinds of boundary conditions, say, the periodic, Dirichlet, and Neumann boundary conditions, is elucidated. We reveal that the complete stability of CNN-based ILDS and, under some prescriptions, the topological entropies of CNN-based ILDS with/without the boundary condition are identical.
Relation: Boundary Value Problems, Vol.2013, No.1, pp.249
Data Type: article
DOI 連結:
Appears in Collections:[應用數學系] 期刊論文

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