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  1. 2023

  2. Решение задач аппроксимации функций с помощью методов тропической математики

    Айнабеков, З. А. & Кривулин, Н. К., 14 Jul 2023, (Accepted/In press). 7 p.

    Research output: Contribution to conference › Abstract › peer-review

  3. 2022

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

    Kovalchukov, A. & Fradkov, A. L., 21 Oct 2022, Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc., p. 151-154 4 p. (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. PCB GCoder

    Ковальчуков, А. А., 10 Aug 2022, Федеральная служба по интеллектуальной собственности, Patent No. 2022665141, 22 Jul 2022

    Research output: Patenting and IP registration › Certificate of registration

  6. Parameter Estimation for Hindmarsh–Rose Neurons

    Fradkov, A. L., Kovalchukov, A. & Andrievsky, B., 11 Mar 2022, In: Electronics (Switzerland). 11, 6, 885.

    Research output: Contribution to journal › Article › peer-review

  7. 2021

  8. Прогноз динамики пандемии COVID-19 по России на основе простых математических моделей эпидемий

    Томчин, Д. А., Ситчихина, М. С., Ананьевский, М. С., Свенцицкая, Т. А. & Фрадков, А. Л., 16 Dec 2021, In: ИНФОРМАЦИОННО-УПРАВЛЯЮЩИЕ СИСТЕМЫ. 6, p. 33-41 9 p.

    Research output: Contribution to journal › Article › peer-review

  9. Adaptive identification and synchronization for two Hindmarsh-Rose neurons

    Ковальчуков, А. А., 13 Nov 2021, 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). Institute of Electrical and Electronics Engineers Inc.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. MODEL IDENTIFICATION OF THE HINDMARSH-ROSE NEURON BASED ON PASSIFICATION AND SPEED GRADIENT METHOD

    Kovalchukov, A. A., Semenov, D. M., Piankov, R. V. & Fradkov, A. L., 2021, p. 550-551. 2 p.

    Research output: Contribution to conference › Paper

  11. ПРОГНОЗИРОВАНИЕ РАСПРОСТРАНЕНИЯ ВИРУСА COVID-19 В РОССИИ НА ОСНОВЕ МАТЕМАТИЧЕСКОЙ МОДЕЛИ SIR

    Томчин, Д. А., Ситчихина, М. С. & Фрадков, А. Л., 2021, p. 529-531. 3 p.

    Research output: Contribution to conference › Paper

ID: 9384301