Work

Autonomous learning by simple dynamical systems with delayed feedback

Year: 2014

Type: article

Abstract: 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.

Source: Physical Review E

DOI: 10.1103/physreve.90.030901

Authors: Pablo Kaluza, Alexander S. Mikhailov

Institutions: Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Cuyo, Fritz Haber Institute of the Max Planck Society

Language: English

Topic: Nonlinear Dynamics and Pattern Formation

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Deutsche Forschungsgemeinschaft

Award: G1372011745