Input-output Model Identification

Input-Output Model Identification is a methodological framework within process identification that formally characterizes the relationships between system inputs and outputs by constructing mathematical models that distinguish dynamic behavior from structural assumptions.

164

Publications

7.4K

Citations

459

Authors

216

Institutions

Publications per year

2017–2026

48

Authors

459

  1. US
    Umberto Soverini

    University of Bologna, Italy

    3 publications · 83 citations

    4

    h-index

  2. RG
    Roberto Guidorzi

    University of Bologna, Italy

    2 publications · 72 citations

    3

    h-index

  3. SN
    Shinichiro Nakamura

    Waseda University, Japan

    3 publications · 149 citations

    3

    h-index

  4. MQ
    Minh Q. Phan

    Langley Research Center, United States

    2 publications · 71 citations

    2

    h-index

  5. PK
    P. Koukoulas

    National and Kapodistrian University of Athens, Greece

    2 publications · 40 citations

    2

    h-index

1–5 of 459

Venues

  1. Journal of Cleaner Production

    6 publications · 402 citations

    8

    h-index

  2. Applied Energy

    4 publications · 427 citations

    5

    h-index

  3. Journal of Travel Research

    JTR · 4 publications · 198 citations

    4

    h-index

  4. Automatica

    3 publications · 110 citations

    3

    h-index

  5. Natural Hazards

    3 publications · 68 citations

    3

    h-index

1–5