State Identifiability

State Identifiability is a theoretical property in system modeling that characterizes the extent to which the internal state variables of a dynamical system can be uniquely determined from its observed inputs and outputs under given initial conditions and model structure.

15

Publications

579

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

28

  1. RL
    Renjie Liu

    China Agricultural University, China

    1 publications · 26 citations

    1

    h-index

  2. AC
    Alessandro Chiuso

    University of Padua, Italy

    1 publications · 175 citations

    1

    h-index

  3. LS
    L.-C. Suen

    University of Notre Dame, United States

    1 publications · 26 citations

    1

    h-index

  4. SD
    S. Dormido

    Universidad Nacional de Educación a Distancia, Spain

    1 publications · 14 citations

    1

    h-index

  5. PE
    Pierre E. Dupont

    Harvard University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 28

Venues

  1. Automatica

    2 publications · 96 citations

    3

    h-index

  2. IEEE Transactions on Automatic Control

    2 publications · 63 citations

    2

    h-index

  3. Systems Biology

    1 publications · 78 citations

    1

    h-index

  4. Advanced Robotics

    1 publications · 14 citations

    1

    h-index

  5. Ecological Modelling

    1 publications · 19 citations

    1

    h-index

1–5