Observer-based Identification

Observer-Based Identification is a method in the field of process identification that employs an observer—a dynamic system that estimates the internal states of a target process—to infer or reconstruct the process model based on input-output data and state estimation error dynamics.

101

Publications

4.6K

Citations

248

Authors

143

Institutions

Publications per year

2017–2026

26

Authors

248

  1. JJ
    Jer-Nan Juang

    Langley Research Center, United States

    11 publications · 907 citations

    10

    h-index

  2. MQ
    Minh Q. Phan

    Langley Research Center, United States

    9 publications · 838 citations

    9

    h-index

  3. LG
    Lucas G. Horta

    Langley Research Center, United States

    7 publications · 776 citations

    7

    h-index

  4. RW
    Richard W. Longman

    Columbia University, United States

    6 publications · 711 citations

    6

    h-index

  5. DM
    Didier Maquin

    Centre de Recherche en Automatique de Nancy, France

    3 publications · 116 citations

    3

    h-index

1–5 of 248

Venues

  1. IFAC Proceedings Volumes

    4 publications · 104 citations

    4

    h-index

  2. International Journal of Control

    4 publications · 246 citations

    4

    h-index

  3. Journal of Guidance Control and Dynamics

    4 publications · 543 citations

    4

    h-index

  4. Automatica

    4 publications · 257 citations

    4

    h-index

  5. 3

    h-index

1–5