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  1. 2023

  2. Identification of two-neuron FitzHugh–Nagumo model based on the speed-gradient and filtering

    Рыбалко, А. В. & Фрадков, А. Л., 1 Aug 2023, In: Chaos. 33, 8, 083126.

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

  3. Идентификация двух моделей нейронов ФитцХью—Нагумо на основе метода скоростного градиента и фильтрации

    Рыбалко, А. В. & Фрадков, А. Л., 14 Jul 2023, In: МЕХАТРОНИКА, АВТОМАТИЗАЦИЯ, УПРАВЛЕНИЕ. 24, 7, p. 346-351 6 p.

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

  4. 2022

  5. Controlled synchronization in regular delay-coupled networks of Hindmarsh-Rose neurons

    Semenov, D. M., Plotnikov, S. 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. 236-239 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

  6. 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

  7. Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering

    Fradkov, A., Shepeljavyi, A. & Rybalko, A., 17 Oct 2022, Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022. Institute of Electrical and Electronics Engineers Inc., p. 29-31 3 p. (Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022).

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

  8. Digital Adaptive Control of Unbalanced Rotor Velocities with Anti-windup Augmentation

    Andrievsky, B., Zaitceva, I., Boikov, V. I. & Fradkov, A. L., Aug 2022, (E-pub ahead of print) In: IFAC-PapersOnLine. 55, 12, p. 258-263

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

  9. Adaptive Multiple Synchronization and Phase Shift Control for Mechatronic Vibrational Setup

    Андриевский, Б. Р., Зайцева, Ю. С., Li, T. & Фрадков, А. Л., 17 May 2022, In: IEEE Xplore Digital Library. p. 611-616 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  10. 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

  11. Frequency-domain Conditions for Global Synchronization of Nonlinear Systems Driven by a Nonperiodic External Signal — Tribute to Gennady Leonov

    Fradkov, A. & Nijmeijer, H., Mar 2022, In: Lobachevskii Journal of Mathematics. 42, 2, p. 3344-3351

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

  12. Signal Transmission by Sampled-time Adaptive Synchronization of Time-varying Chaotic Systems

    Fradkov, A. L. & Andrievsky, B., 2022, In: IFAC-PapersOnLine. 55, 12, p. 695-700 6 p.

    Research output: Contribution to journal › Conference article › peer-review

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