Tunable power law in the desynchronization events of coupled chaotic electronic circuits
Abstract
We study the statistics of the amplitude of the synchronization error in chaotic electronic circuits coupled through linear feedback. Depending on the coupling strength, our system exhibits three qualitatively different regimes of synchronization: weak coupling yields independent oscillations; moderate to strong coupling produces a regime of intermittent synchronization known as attractor bubbling; and stronger coupling produces complete synchronization. In the regime of moderate coupling, the probability distribution for the sizes of desynchronization events follows a power law, with an exponent that can be adjusted by changing the coupling strength. Such power-law distributions are interesting, as they appear in many complex systems. However, most of the systems with such a behavior have a fixed value for the exponent of the power law, while here we present an example of a system where the exponent of the power law is easily tuned in real time.
- Authors:
-
- Departamento de Física, Universidade Federal da Paraíba, 58051-900 João Pessoa, PB (Brazil)
- Publication Date:
- OSTI Identifier:
- 22251173
- Resource Type:
- Journal Article
- Journal Name:
- Chaos (Woodbury, N. Y.)
- Additional Journal Information:
- Journal Volume: 24; Journal Issue: 1; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 1054-1500
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; AMPLITUDES; ATTRACTORS; BUBBLES; CHAOS THEORY; COUPLING; ELECTRONIC CIRCUITS; PROBABILITY; STRONG-COUPLING MODEL; SYNCHRONIZATION; YIELDS
Citation Formats
Oliveira, Gilson F. de,, Lorenzo, Orlando di, Chevrollier, Martine, Passerat de Silans, Thierry, Oriá, Marcos, and Souza Cavalcante, Hugo L. D. de. Tunable power law in the desynchronization events of coupled chaotic electronic circuits. United States: N. p., 2014.
Web. doi:10.1063/1.4861815.
Oliveira, Gilson F. de,, Lorenzo, Orlando di, Chevrollier, Martine, Passerat de Silans, Thierry, Oriá, Marcos, & Souza Cavalcante, Hugo L. D. de. Tunable power law in the desynchronization events of coupled chaotic electronic circuits. United States. https://doi.org/10.1063/1.4861815
Oliveira, Gilson F. de,, Lorenzo, Orlando di, Chevrollier, Martine, Passerat de Silans, Thierry, Oriá, Marcos, and Souza Cavalcante, Hugo L. D. de. 2014.
"Tunable power law in the desynchronization events of coupled chaotic electronic circuits". United States. https://doi.org/10.1063/1.4861815.
@article{osti_22251173,
title = {Tunable power law in the desynchronization events of coupled chaotic electronic circuits},
author = {Oliveira, Gilson F. de, and Lorenzo, Orlando di and Chevrollier, Martine and Passerat de Silans, Thierry and Oriá, Marcos and Souza Cavalcante, Hugo L. D. de},
abstractNote = {We study the statistics of the amplitude of the synchronization error in chaotic electronic circuits coupled through linear feedback. Depending on the coupling strength, our system exhibits three qualitatively different regimes of synchronization: weak coupling yields independent oscillations; moderate to strong coupling produces a regime of intermittent synchronization known as attractor bubbling; and stronger coupling produces complete synchronization. In the regime of moderate coupling, the probability distribution for the sizes of desynchronization events follows a power law, with an exponent that can be adjusted by changing the coupling strength. Such power-law distributions are interesting, as they appear in many complex systems. However, most of the systems with such a behavior have a fixed value for the exponent of the power law, while here we present an example of a system where the exponent of the power law is easily tuned in real time.},
doi = {10.1063/1.4861815},
url = {https://www.osti.gov/biblio/22251173},
journal = {Chaos (Woodbury, N. Y.)},
issn = {1054-1500},
number = 1,
volume = 24,
place = {United States},
year = {Sat Mar 15 00:00:00 EDT 2014},
month = {Sat Mar 15 00:00:00 EDT 2014}
}