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Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems. / Rybin, Vyacheslav; Kolev, Georgii; Kopets, Ekaterina; Dautov, Albert; Karimov, Artur; Karimov, Timur.

2022 11th Mediterranean Conference on Embedded Computing, MECO 2022. Institute of Electrical and Electronics Engineers Inc., 2022.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Rybin, V, Kolev, G, Kopets, E, Dautov, A, Karimov, A & Karimov, T 2022, Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems. в 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022. Institute of Electrical and Electronics Engineers Inc., Mediterranean Conference on Embedded Computing, 7/06/22. https://doi.org/10.1109/MECO55406.2022.9797125

APA

Rybin, V., Kolev, G., Kopets, E., Dautov, A., Karimov, A., & Karimov, T. (2022). Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems. в 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MECO55406.2022.9797125

Vancouver

Rybin V, Kolev G, Kopets E, Dautov A, Karimov A, Karimov T. Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems. в 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022. Institute of Electrical and Electronics Engineers Inc. 2022 https://doi.org/10.1109/MECO55406.2022.9797125

Author

Rybin, Vyacheslav ; Kolev, Georgii ; Kopets, Ekaterina ; Dautov, Albert ; Karimov, Artur ; Karimov, Timur. / Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems. 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022. Institute of Electrical and Electronics Engineers Inc., 2022.

BibTeX

@inproceedings{04f48ce77a0e4e1499029713c0ed1359,
title = "Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems",
abstract = "Fast synchronization of chaotic oscillators is important in coherent chaotic communication systems to provide the highest possible bitrate. In the current study, we consider two chaotic communication systems based on the R{\"o}ssler and Lorenz chaotic oscillators, respectively, and using symmetry coefficient modulation (SCM). We estimate the synchronization times for various state variables of the systems and the different symmetry and synchronization coefficients. The experimental results show that the synchronization coefficient significantly influences the synchronization time and the particular choice of the state variable for both systems. On the contrary, the symmetry coefficient almost does not affect the synchronization time, so it can be chosen on other criteria.",
keywords = "Lorenz system, Pecora-Carroll synchronization, Rossler system, chaos-based communication, semi-implicit finite difference scheme, symmetry coefficient modulation",
author = "Vyacheslav Rybin and Georgii Kolev and Ekaterina Kopets and Albert Dautov and Artur Karimov and Timur Karimov",
year = "2022",
month = jun,
day = "21",
doi = "10.1109/MECO55406.2022.9797125",
language = "русский",
isbn = "9781665468282",
booktitle = "2022 11th Mediterranean Conference on Embedded Computing, MECO 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "Соединенные Штаты Америки",
note = "Mediterranean Conference on Embedded Computing, MECO ; Conference date: 07-06-2022 Through 10-06-2022",
url = "https://ieeexplore.ieee.org/xpl/conhome/9797068/proceeding",

}

RIS

TY - GEN

T1 - Optimal Synchronization Parameters for Variable Symmetry Discrete Models of Chaotic Systems

AU - Rybin, Vyacheslav

AU - Kolev, Georgii

AU - Kopets, Ekaterina

AU - Dautov, Albert

AU - Karimov, Artur

AU - Karimov, Timur

N1 - Conference code: 10.1109/MECO55406.2022

PY - 2022/6/21

Y1 - 2022/6/21

N2 - Fast synchronization of chaotic oscillators is important in coherent chaotic communication systems to provide the highest possible bitrate. In the current study, we consider two chaotic communication systems based on the Rössler and Lorenz chaotic oscillators, respectively, and using symmetry coefficient modulation (SCM). We estimate the synchronization times for various state variables of the systems and the different symmetry and synchronization coefficients. The experimental results show that the synchronization coefficient significantly influences the synchronization time and the particular choice of the state variable for both systems. On the contrary, the symmetry coefficient almost does not affect the synchronization time, so it can be chosen on other criteria.

AB - Fast synchronization of chaotic oscillators is important in coherent chaotic communication systems to provide the highest possible bitrate. In the current study, we consider two chaotic communication systems based on the Rössler and Lorenz chaotic oscillators, respectively, and using symmetry coefficient modulation (SCM). We estimate the synchronization times for various state variables of the systems and the different symmetry and synchronization coefficients. The experimental results show that the synchronization coefficient significantly influences the synchronization time and the particular choice of the state variable for both systems. On the contrary, the symmetry coefficient almost does not affect the synchronization time, so it can be chosen on other criteria.

KW - Lorenz system

KW - Pecora-Carroll synchronization

KW - Rossler system

KW - chaos-based communication

KW - semi-implicit finite difference scheme

KW - symmetry coefficient modulation

UR - https://www.mendeley.com/catalogue/ec2e6d81-72a5-36fe-985a-498e566597c9/

U2 - 10.1109/MECO55406.2022.9797125

DO - 10.1109/MECO55406.2022.9797125

M3 - статья в сборнике материалов конференции

SN - 9781665468282

BT - 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Mediterranean Conference on Embedded Computing

Y2 - 7 June 2022 through 10 June 2022

ER -

ID: 108202473