Chaotic Synchronization in Nearest-Neighbor Coupled Networks of 3D CNNs
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 thenetworks are defined by coupling the first state of each node. Four cases of i...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/328 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/328 |
| Access Level: | acceso abierto |
| Palabra clave: | Chaotic synchronization nearest-neighbor coupled networks cellular neural networks (CNNs) chaotic communications. |
| Sumario: | 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 thenetworks are defined by coupling the first state of each node. Four cases of interest are considered: i) synchronizationwithout 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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