Output Identifiability

Output Identifiability is a property of a mathematical model in which the uniqueness of the model's predicted outputs ensures that distinct parameter values or structural configurations can be distinguished based on observed data, thereby enabling the reliable inference of underlying system properties.

7

Publications

380

Citations

20

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

20

  1. KK
    Karl Kunisch

    University of Graz, Austria

    2 publications · 45 citations

    2

    h-index

  2. TM
    Thomas M. Ostrom

    The Ohio State University, United States

    2 publications · 197 citations

    2

    h-index

  3. MA
    Mary A. Brickner

    University of Wisconsin–Green Bay, United States

    2 publications · 197 citations

    2

    h-index

  4. SG
    Stephen G. Harkins

    Northeastern University, United States

    2 publications · 197 citations

    2

    h-index

  5. LV
    Loi Vu Duc

    Hanoi University of Pharmacy, Vietnam

    1 publications · 52 citations

    1

    h-index

1–5 of 20

Venues

  1. Journal of Personality and Social Psychology

    2 publications · 197 citations

    2

    h-index

  2. IEEE Transactions on Automatic Control

    2 publications · 86 citations

    2

    h-index

  3. Ecological Modelling

    1 publications · 52 citations

    1

    h-index

  4. SIAM Journal on Control and Optimization

    1 publications · 27 citations

    1

    h-index

  5. 1

    h-index

1–5