Learning Feedforward Control

Learning Feedforward Control is a control methodology that integrates adaptive learning mechanisms into feedforward control systems to autonomously refine control actions based on prior experience or system feedback, thereby enhancing accuracy and robustness in dynamic environments.

74

Publications

3K

Citations

175

Authors

81

Institutions

Publications per year

2017–2026

11

Authors

175

  1. TJ
    Theo J.A. de Vries

    University of Twente, Netherlands

    7 publications · 343 citations

    7

    h-index

  2. WV
    W.J.R. Velthuis

    University of Twente, Netherlands

    5 publications · 87 citations

    5

    h-index

  3. JV
    J. van Amerongen

    University of Twente, Netherlands

    5 publications · 339 citations

    5

    h-index

  4. DG
    Dimitry Gorinevsky

    Honeywell (United States), United States

    5 publications · 111 citations

    5

    h-index

  5. TO
    Tom Oomen

    Eindhoven University of Technology, Netherlands

    5 publications · 205 citations

    5

    h-index

1–5 of 175

Venues

  1. 3

    h-index

  2. IEEE Transactions on Robotics and Automation

    3 publications · 502 citations

    3

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    3 publications · 370 citations

    3

    h-index

  4. IEEE Transactions on Neural Networks

    2 publications · 148 citations

    2

    h-index

  5. IFAC Proceedings Volumes

    2 publications · 45 citations

    2

    h-index

1–5