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  1. 2026

  2. Remote robust state estimation for nonlinear systems

    Pogromsky, A. Y. & Matveev, A. S., 1 Mar 2026, In: Automatica. 185, 112795.

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

  3. Ants-inspired non-gradient based navigation of non-holonomic robots for seeking and tracking extended sources

    Матвеев, А. С. & Минюк, Е. П., 26 Feb 2026, In: Automatica. 187, 112877.

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

  4. Distributed self-organisation of a homogeneous swarm of robots into a uniform closed-chain, with creating informational connectivity

    Konovalov, P. A. & Matveev, A. S., 28 Jan 2026, (E-pub ahead of print) In: International Journal of Control.

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

  5. Software Framework for EEG Signals Analysis Using Machine Learning Methods

    Shanarova, N., Lipkovich, M., Pronina, M., Knyazeva, V., Sagatdinov, A., Aleksandrov, A., Kropotov, J. & Ponomarev, V., 2026, Intelligent Systems . p. 41-52 12 p. (Communications in Computer and Information Science; vol. 2605 CCIS).

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

  6. 2025

  7. Temporal and frequency features play different role in recognizing preparation of voluntary movements from electroencephalogram

    Сагатдинов, А. Р., Липкович, М., Князева, В. М. & Александров, А. А., 1 Oct 2025, In: The European Physical Journal Special Topics. 234, 15, p. 4317–4328 12 p.

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

  8. On adaptive parameters identification of Hindmarsh–Rose neuron models

    Kovalchukov, A. & Fradkov, A., 5 Aug 2025, In: Chaos, Solitons and Fractals. 200

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

  9. Reactive Autonomous Ad Hoc Self-Organization of Homogeneous Teams of Unmanned Surface Vehicles for Sweep Coverage of a Passageway with an Obstacle Course

    Матвеев, А. С., Коновалов, П. А. & Гордиевич, К. А., Feb 2025, In: Drones. 9, 3, 161.

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

  10. Bregman method and Yakubovich method for adaptation and learning

    Chen, O., Fradkov, A. L. & Rodríguez-Cortés, H. (ed.), 2025, In: IFAC-PapersOnLine. 59, 14, p. 262-265 4 p.

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

  11. Control of a Non-Holonomic Marine Robot for Isoline Tracking in an Unknown Environmental Field

    Ermolaev, A. A., Popov, A. M., Matveev, A. S. & Kapitonov, A. A., 2025, p. 69-74. 6 p.

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

  12. Distributed algorithms for self-spreading of robotic networks over unknown complex areas in GPS-denied environments

    Матвеев, А. С. & Коновалов, П. А., 2025, In: Cybernetics and Physics. 1, p. 52-61

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

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