Model Validation For Identification

Model Validation for Identification is a methodological process that belongs to the class of model validation techniques, differing by its specific application to verifying the accuracy and reliability of models used in process identification through comparison with empirical data or established benchmarks.

21

Publications

903

Citations

47

Authors

28

Institutions

Publications per year

2017–2026

1

Authors

47

  1. LL
    Lennart Ljung

    Linköping University, Sweden

    4 publications · 212 citations

    4

    h-index

  2. LG
    Lei Guo

    Chinese Academy of Sciences, China

    2 publications · 94 citations

    2

    h-index

  3. GS
    Gérard Scorletti

    École Centrale de Lyon, France

    2 publications · 100 citations

    2

    h-index

  4. MG
    M. Gevers

    UCLouvain, Belgium

    2 publications · 100 citations

    2

    h-index

  5. AB
    Albert Benveniste

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    2 publications · 216 citations

    2

    h-index

1–5 of 47

Venues

  1. Automatica

    2 publications · 100 citations

    2

    h-index

  2. IEEE Transactions on Automatic Control

    2 publications · 283 citations

    2

    h-index

  3. Mathematical Modelling of Systems

    1 publications · 13 citations

    1

    h-index

  4. IOP Conference Series Materials Science and Engineering

    Conference · 1 publications · 20 citations

    1

    h-index

  5. International Journal of Plasticity

    1 publications · 86 citations

    1

    h-index

1–5