Input Disturbance Modeling

Input Disturbance Modeling is a formal analytical framework within disturbance response analysis that specifically characterizes external perturbations affecting system inputs by delineating their temporal, stochastic, and structural properties to enable accurate prediction and mitigation of their impacts on system behavior.

55

Publications

2.2K

Citations

136

Authors

70

Institutions

Publications per year

2017–2026

16

Authors

136

  1. JS
    Jinhua She

    Tokyo University of Technology, Japan

    10 publications · 756 citations

    10

    h-index

  2. MW
    Min Wu

    China University of Geosciences, China

    4 publications · 102 citations

    4

    h-index

  3. XX
    Xin Xin

    Okayama Prefectural University, Japan

    4 publications · 83 citations

    4

    h-index

  4. YO
    Yasuhiro Ohyama

    Tokyo University of Technology, Japan

    3 publications · 619 citations

    3

    h-index

  5. ZL
    Zhentao Liu

    China University of Geosciences, China

    2 publications · 55 citations

    2

    h-index

1–5 of 136

Venues

  1. 2

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  2. IEEE Transactions on Vehicular Technology

    2 publications · 70 citations

    2

    h-index

  3. IEEE Transactions on Industrial Electronics

    2 publications · 583 citations

    2

    h-index

  4. 2

    h-index

  5. Nonlinear Dynamics

    2 publications · 52 citations

    2

    h-index

1–5