Huygens synchronization of three aligned clocks

Abstract This study examines the synchronization of three identical oscillators arranged in an array and coupled by small impacts, wherein each oscillator interacts solely with its nearest neighbour. The synchronized state, which is asymptotically stable, is characterized by phase opposition among alternating oscillators. We analyse the system using a non-linear discrete dynamical system based on a difference equation derived from the iteration of a plane diffeomorphism. We illustrate these results with the application to a system of three aligned Andronov clocks, showcasing their applicability to a broad range of oscillator systems.

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Publication Details

Journal
Nonlinear Dynamics
Published
2024-11-04
DOI
https://doi.org/10.1007/s11071-024-10524-y
Citations
2
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.70

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article

Huygens synchronization of three aligned clocks

Jorge Buescu, Emma D’Aniello, Henrique M. Oliveira
2 citations
Nonlinear Dynamics
Nonlinear Dynamics and Pattern Formation
0.70
article

Huygens synchronization of three aligned clocks

Jorge Buescu, Emma D’Aniello, Henrique M. Oliveira
article en
2 citations

Abstract

Abstract This study examines the synchronization of three identical oscillators arranged in an array and coupled by small impacts, wherein each oscillator interacts solely with its nearest neighbour. The synchronized state, which is asymptotically stable, is characterized by phase opposition among alternating oscillators. We analyse the system using a non-linear discrete dynamical system based on a difference equation derived from the iteration of a plane diffeomorphism. We illustrate these results with the application to a system of three aligned Andronov clocks, showcasing their applicability to a broad range of oscillator systems.

Nonlinear DynamicsVol. 113(6)
University of Lisbon (PT), University of Campania "Luigi Vanvitelli" (IT)
Universidade de Lisboa
Openalex Percentile: Top 27%
Nonlinear Dynamics and Pattern Formation
0.70
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