Standard

Desynchronization control of FitzHugh-Nagumo networks with random topology. / Plotnikov, Sergei A.; Fradkov, Alexander L.

в: IFAC-PapersOnLine, Том 52, № 16, 09.2019, стр. 640-645.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Plotnikov, SA & Fradkov, AL 2019, 'Desynchronization control of FitzHugh-Nagumo networks with random topology', IFAC-PapersOnLine, Том. 52, № 16, стр. 640-645. https://doi.org/10.1016/j.ifacol.2019.12.034

APA

Plotnikov, S. A., & Fradkov, A. L. (2019). Desynchronization control of FitzHugh-Nagumo networks with random topology. IFAC-PapersOnLine, 52(16), 640-645. https://doi.org/10.1016/j.ifacol.2019.12.034

Vancouver

Plotnikov SA, Fradkov AL. Desynchronization control of FitzHugh-Nagumo networks with random topology. IFAC-PapersOnLine. 2019 Сент.;52(16):640-645. https://doi.org/10.1016/j.ifacol.2019.12.034

Author

Plotnikov, Sergei A. ; Fradkov, Alexander L. / Desynchronization control of FitzHugh-Nagumo networks with random topology. в: IFAC-PapersOnLine. 2019 ; Том 52, № 16. стр. 640-645.

BibTeX

@article{7ea933801f6d4a3ba04c86d3ce9b3f09,
title = "Desynchronization control of FitzHugh-Nagumo networks with random topology",
abstract = "This paper studies the influence of the coupling type on the network desynchronization and proposes the algorithms to control it. We consider the FitzHugh-Nagumo network with random topology and different coupling values for different nodes. The simple mean field control which is similar for all nodes can be applicable for desynchronization of FitzHugh-Nagumo network with direct coupling. However, the network with diffusive coupling is much harder to desynchronize. In this case for large enough coupling values one should use different control algorithms for different nodes to desynchronize the network.",
keywords = "Cluster synchronization, Desynchronization, Diffusive coupling, Direct coupling, FitzHugh-Nagumo network, Oscillation",
author = "Plotnikov, {Sergei A.} and Fradkov, {Alexander L.}",
note = "Publisher Copyright: {\textcopyright} 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 11th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2019 ; Conference date: 04-09-2019 Through 06-09-2019",
year = "2019",
month = sep,
doi = "10.1016/j.ifacol.2019.12.034",
language = "English",
volume = "52",
pages = "640--645",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "Elsevier",
number = "16",

}

RIS

TY - JOUR

T1 - Desynchronization control of FitzHugh-Nagumo networks with random topology

AU - Plotnikov, Sergei A.

AU - Fradkov, Alexander L.

N1 - Publisher Copyright: © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2019/9

Y1 - 2019/9

N2 - This paper studies the influence of the coupling type on the network desynchronization and proposes the algorithms to control it. We consider the FitzHugh-Nagumo network with random topology and different coupling values for different nodes. The simple mean field control which is similar for all nodes can be applicable for desynchronization of FitzHugh-Nagumo network with direct coupling. However, the network with diffusive coupling is much harder to desynchronize. In this case for large enough coupling values one should use different control algorithms for different nodes to desynchronize the network.

AB - This paper studies the influence of the coupling type on the network desynchronization and proposes the algorithms to control it. We consider the FitzHugh-Nagumo network with random topology and different coupling values for different nodes. The simple mean field control which is similar for all nodes can be applicable for desynchronization of FitzHugh-Nagumo network with direct coupling. However, the network with diffusive coupling is much harder to desynchronize. In this case for large enough coupling values one should use different control algorithms for different nodes to desynchronize the network.

KW - Cluster synchronization

KW - Desynchronization

KW - Diffusive coupling

KW - Direct coupling

KW - FitzHugh-Nagumo network

KW - Oscillation

UR - http://www.scopus.com/inward/record.url?scp=85077464914&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2019.12.034

DO - 10.1016/j.ifacol.2019.12.034

M3 - Conference article

AN - SCOPUS:85077464914

VL - 52

SP - 640

EP - 645

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 16

T2 - 11th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2019

Y2 - 4 September 2019 through 6 September 2019

ER -

ID: 75995720