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Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements. / Kovalchukov, Aleksandr; Fradkov, Alexander L.

Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 151-154 (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022).

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Harvard

Kovalchukov, A & Fradkov, AL 2022, Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements. in Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022, Institute of Electrical and Electronics Engineers Inc., pp. 151-154, 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022, Kaliningrad, Russian Federation, 14/09/22. https://doi.org/10.1109/dcna56428.2022.9923232

APA

Kovalchukov, A., & Fradkov, A. L. (2022). Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements. In Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022 (pp. 151-154). (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/dcna56428.2022.9923232

Vancouver

Kovalchukov A, Fradkov AL. Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements. In Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 151-154. (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022). https://doi.org/10.1109/dcna56428.2022.9923232

Author

Kovalchukov, Aleksandr ; Fradkov, Alexander L. / Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements. Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 151-154 (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022).

BibTeX

@inproceedings{41bde06c16b542bf9190b0c8ab5d54a8,
title = "Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements",
abstract = "Model identification problem for the 3rd order Hindmarsh-Rose system with measurable output is considered. Sufficient conditions are obtained and proved. Numerical modeling is performed. Results of numerical experiments are in compliance with theory and restrictions of the method are investigated. ",
keywords = "Hindmarsh-Rose neuron, Model identification, neural models, Speed-Gradient method",
author = "Aleksandr Kovalchukov and Fradkov, {Alexander L.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th Scientific School {"}Dynamics of Complex Networks and their Applications{"}, DCNA 2022 ; Conference date: 14-09-2022 Through 16-09-2022",
year = "2022",
month = oct,
day = "21",
doi = "10.1109/dcna56428.2022.9923232",
language = "English",
isbn = "9781665461740",
series = "Proceedings - 6th Scientific School {"}Dynamics of Complex Networks and their Applications{"}, DCNA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "151--154",
booktitle = "Proceedings - 6th Scientific School {"}Dynamics of Complex Networks and their Applications{"}, DCNA 2022",
address = "United States",

}

RIS

TY - GEN

T1 - Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements

AU - Kovalchukov, Aleksandr

AU - Fradkov, Alexander L.

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022/10/21

Y1 - 2022/10/21

N2 - Model identification problem for the 3rd order Hindmarsh-Rose system with measurable output is considered. Sufficient conditions are obtained and proved. Numerical modeling is performed. Results of numerical experiments are in compliance with theory and restrictions of the method are investigated.

AB - Model identification problem for the 3rd order Hindmarsh-Rose system with measurable output is considered. Sufficient conditions are obtained and proved. Numerical modeling is performed. Results of numerical experiments are in compliance with theory and restrictions of the method are investigated.

KW - Hindmarsh-Rose neuron

KW - Model identification

KW - neural models

KW - Speed-Gradient method

UR - http://www.scopus.com/inward/record.url?scp=85141633664&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/4326f404-01c5-3e6a-84db-c5d392b37e3c/

U2 - 10.1109/dcna56428.2022.9923232

DO - 10.1109/dcna56428.2022.9923232

M3 - Conference contribution

AN - SCOPUS:85141633664

SN - 9781665461740

T3 - Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

SP - 151

EP - 154

BT - Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

Y2 - 14 September 2022 through 16 September 2022

ER -

ID: 100731724