Ing.

Jakub Dokoupil

Ph.D.

CEITEC, RG-3-02 – Researcher

+420 54114 9825
jakub.dokoupil@ceitec.vutbr.cz

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Ing. Jakub Dokoupil, Ph.D.

Publications

  • 2023

    DOKOUPIL, J.; VÁCLAVEK, P. Recursive identification of the ARARX model based on the variational Bayes method. In 62th IEEE Conference on Decision and Control. NEW YORK: IEEE, 2023. p. 4215-4222. ISBN: 979-8-3503-0124-3.
    Detail | WWW | Full text in the Digital Library

    DOKOUPIL, J.; VÁCLAVEK, P. Recursive identification of time-varying Hammerstein systems with matrix forgetting. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, vol. 68, no. 5, p. 3078-3085. ISSN: 0018-9286.
    Detail | WWW | Full text in the Digital Library

  • 2021

    DOKOUPIL, J.; VÁCLAVEK, P. Recursive identification of the Hammerstein model based on the Variational Bayes method. In 60th IEEE Conference on Decision and Control. NEW YORK: IEEE, 2021. p. 1586-1591. ISBN: 978-1-6654-3659-5.
    Detail | WWW

  • 2020

    DOKOUPIL, J.; VÁCLAVEK, P. Regularized estimation with variable exponential forgetting. In 59th Conference on Decision and Control. New York: IEEE, 2020. p. 312-318. ISBN: 978-1-7281-7446-4.
    Detail | WWW

  • 2019

    DOKOUPIL, J.; VÁCLAVEK, P. Variable exponential forgetting for estimation of the statistics of the normal-Wishart distribution with a constant precision. In 58th Conference on Decision and Control. Nice, France: IEEE, 2019. p. 5094-5100. ISBN: 978-1-7281-1397-5.
    Detail

    DOKOUPIL, J.; VÁCLAVEK, P. Forgetting factor Kalman filter with dependent noise processes. In 58th Conference on Decision and Control. Nice, France: IEEE, 2019. p. 1809-1815. ISBN: 978-1-7281-1397-5.
    Detail

  • 2018

    DOKOUPIL, J.; VÁCLAVEK, P. Data-driven stabilized forgetting design using the geometric mean of normal probability densities. In 57th Conference on Decision and Control. IEEE, 2018. p. 1403-1408. ISBN: 978-1-5386-1394-8.
    Detail | WWW

    DOKOUPIL, J.; VÁCLAVEK, P. Adaptive fading Kalman filter design using the geometric mean of normal probability densities. In 2018 Annual American Control Conference. IEEE, 2018. p. 5037-5042. ISBN: 978-1-5386-5428-6.
    Detail | WWW

  • 2017

    DOKOUPIL, J.; VODA, A.; VÁCLAVEK, P. Regularized extended estimation with stabilized exponential forgetting. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, vol. 62, no. 12, p. 6513-6520. ISSN: 0018-9286.
    Detail | WWW

  • 2016

    RYBA, L.; DOKOUPIL, J.; VODA, A.; BESANCON, G. Adaptive hysteresis compensation on an experimental nanopositioning platform. INTERNATIONAL JOURNAL OF CONTROL, 2016, vol. 1, no. 1, p. 1-14. ISSN: 1366-5820.
    Detail | WWW

    DOKOUPIL, J.; VÁCLAVEK, P. Design of variable exponential forgetting for estimation of the statistics of the Normal distribution. In 55th Conference on Decision and Control. IEEE, 2016. p. 1179-1184. ISBN: 978-1-5090-1837-6.
    Detail | WWW

    DOKOUPIL, J.; VÁCLAVEK, P. Design of variable exponential forgetting for estimation of the statistics of the Normal-Wishart distribution. In European Control Conference. IEEE, 2016. p. 2565-2570. ISBN: 978-1-5090-2591-6.
    Detail | WWW

  • 2015

    DOKOUPIL, J.; PAPEŽ, M.; VÁCLAVEK, P. Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution. In 54th IEEE Conference on Decision and Control. 54th IEEE Conference on Decision and Control. Institute of electrical and electronics engineers inc., 2015. p. 5008-5013. ISBN: 978-1-4799-7884-7. ISSN: 0743-1546.
    Detail | WWW

    RYBA, L.; DOKOUPIL, J.; VODA, A.; BESANCON, G. A real-time inverse-based hysteresis compensation with adaptation. In 54th IEEE Conference on Decision and Control. 54th IEEE Conference on Decision and Control. Institute of electrical and electronics engineers inc., 2015. p. 7335-7340. ISBN: 978-1-4799-7884-7. ISSN: 0743-1546.
    Detail | WWW

*) Publications are generated once a 24 hours.