Artículo

Autonomous learning by simple dynamical systems with delayed feedback

Kaluza, Pablo FedericoIcon ; Mikhailov, Alexander S.
Fecha de publicación: 09/2014
Editorial: American Physical Society
Revista: Physical Review E: Statistical, Nonlinear and Soft Matter Physics
ISSN: 1539-3755
e-ISSN: 2470-0053
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

A general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.
Palabras clave: Autonomous , Learning , Phase , Oscillators
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/32341
URL: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.030901
DOI: http://dx.doi.org/10.1103/PhysRevE.90.030901
Colecciones
Articulos(CCT - MENDOZA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Citación
Kaluza, Pablo Federico; Mikhailov, Alexander S.; Autonomous learning by simple dynamical systems with delayed feedback; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 3; 9-2014
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