Multivariable Disturbance Analysis

Multivariable Disturbance Analysis is a methodological framework within disturbance response analysis that systematically characterizes and quantifies the simultaneous effects of multiple interacting disturbance variables on a system's behavior, distinguishing itself from univariate approaches by explicitly modeling cross-variable dependencies and their joint impact on system dynamics.

9

Publications

331

Citations

26

Authors

10

Institutions

Publications per year

2017–2026

3

Authors

26

  1. DG
    D. Grant Fisher

    University of Alberta, Canada

    1 publications · 65 citations

    1

    h-index

  2. HH
    Hao Hu

    Shanghai Jiao Tong University, China

    1 publications · 61 citations

    1

    h-index

  3. LL
    Lei Luo

    Tsinghua University, China

    1 publications · 33 citations

    1

    h-index

  4. NH
    Niels Holm Jensen

    Aarhus University, Denmark

    1 publications · 65 citations

    1

    h-index

  5. DW
    D. W. Miller

    European Organization for Nuclear Research, Switzerland

    1 publications · 30 citations

    1

    h-index

1–5 of 26

Venues

  1. Applied Thermal Engineering

    1 publications · 29 citations

    1

    h-index

  2. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Computers & Chemical Engineering

    1 publications · 33 citations

    1

    h-index

  4. International Journal of Systems Science

    1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5