Adaptive Feedforward Control

Adaptive Feedforward Control is a control methodology that belongs to the class of feedforward control systems, distinguished by its ability to dynamically adjust its feedforward compensation parameters in real-time based on changing system conditions or identified disturbances, thereby enhancing tracking accuracy and performance without relying solely on feedback correction.

336

Publications

14K

Citations

741

Authors

320

Institutions

Publications per year

2017–2026

66

Authors

741

  1. IM
    Ikuro Mizumoto

    Kumamoto University, Japan

    10 publications · 507 citations

    10

    h-index

  2. SJ
    Stephen J. Elliott

    University of Southampton, United Kingdom

    9 publications · 634 citations

    9

    h-index

  3. MB
    Marc Bodson

    University of Utah, United States

    7 publications · 556 citations

    7

    h-index

  4. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    7 publications · 708 citations

    7

    h-index

  5. TA
    Tudor-Bogdan Airimiţoaie

    GIPSA-Lab, France

    6 publications · 154 citations

    6

    h-index

1–5 of 741

Venues

  1. IEEE Transactions on Control Systems Technology

    14 publications · 855 citations

    14

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 13 publications · 379 citations

    13

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Industrial Electronics

    10 publications · 1.1K citations

    10

    h-index

  5. International Journal of Control

    9 publications · 673 citations

    9

    h-index

1–5