Model Uncertainty Rejection

Model Uncertainty Rejection is a control system design objective that specifically addresses the attenuation of performance degradation caused by inaccuracies or incomplete knowledge in the mathematical representation of a dynamic system, distinguishing it from other disturbance rejection mechanisms by targeting uncertainty in the model structure or parameters.

26

Publications

2.2K

Citations

59

Authors

48

Institutions

Publications per year

2017–2026

11

Authors

59

  1. KB
    Keith Beven

    Lancaster University, United Kingdom

    4 publications · 598 citations

    4

    h-index

  2. XY
    Xuebo Yang

    Harbin Institute of Technology, China

    1 publications · 21 citations

    1

    h-index

  3. YC
    Yuheng Chen

    Hunan University, China

    1 publications · 13 citations

    1

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  4. VH
    Van Hung Nguyen

    Hanoi University of Science and Technology, Vietnam

    1 publications · 35 citations

    1

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  5. EJ
    Ernesto Jardim

    Joint Research Centre, Italy

    1 publications · 19 citations

    1

    h-index

1–5 of 59

Venues

  1. Hydrological Processes

    2 publications · 381 citations

    2

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  2. Bulletin of the Seismological Society of America

    BSSA · 1 publications · 65 citations

    1

    h-index

  3. IEEE Access

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Applied Soft Computing

    1 publications · 33 citations

    1

    h-index

1–5