Output Error Models

Output Error Models is a class of system identification models that belong to the broader category of dynamic models, distinguished by their explicit assumption that noise enters only at the output stage and not through the system dynamics, thereby separating model error from process disturbance.

156

Publications

6.3K

Citations

346

Authors

175

Institutions

Publications per year

2017–2026

34

Authors

346

  1. FD
    Feng Ding

    Jiangnan University, China

    13 publications · 1.4K citations

    10

    h-index

  2. LL
    Lennart Ljung

    Linköping University, Sweden

    6 publications · 223 citations

    6

    h-index

  3. RE
    Richard E. Maine

    Armstrong Flight Research Center, United States

    4 publications · 232 citations

    4

    h-index

  4. KF
    Krzysztof Fidkowski

    University of Michigan, United States

    3 publications · 39 citations

    3

    h-index

  5. DS
    D.A. Selin

    The Ohio State University, United States

    3 publications · 138 citations

    3

    h-index

1–5 of 346

Venues

  1. IEEE Transactions on Automatic Control

    8 publications · 514 citations

    8

    h-index

  2. Automatica

    7 publications · 270 citations

    7

    h-index

  3. 5

    h-index

  4. IFAC Proceedings Volumes

    4 publications · 63 citations

    4

    h-index

  5. Journal of Aircraft

    4 publications · 64 citations

    4

    h-index

1–5