Chaotic Synchronization in Nearest-Neighbor Coupled Networks of 3D CNNs
In this paper, a synchronization of Cellular Neural Networks (CNNs) in nearest-neighbor coupled arrays, is numerically studied. Synchronization of multiple chaotic CNNs is achieved by appealing to complex systems theory. In particular, we consider dynamical networks composed by 3D CNNs, as interconn...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | México |
| Institución: | Universidad Autónoma de Baja California |
| Repositorio: | Redalyc-UABC |
| OAI Identifier: | oai:redalyc.org:47426212003 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=47426212003 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería nearest chaotic communications Chaotic synchronization neighbor coupled networks cellular neural networks (CNNs) |
| Sumario: | In this paper, a synchronization of Cellular Neural Networks (CNNs) in nearest-neighbor coupled arrays, is numerically studied. Synchronization of multiple chaotic CNNs is achieved by appealing to complex systems theory. In particular, we consider dynamical networks composed by 3D CNNs, as interconnected nodes, where the interactions in the networks are defined by coupling the first state of each node. Four cases of interest are considered: i) synchronization without chaotic master, ii) master-slave configuration (directed ring), iii) open ring configuration (a path), and iv) directed path configuration. In addition, an application to chaotic communication networks is given. |
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