Observer-based Estimation

Observer-Based Estimation is an estimation method that belongs to the class of state reconstruction techniques, distinguished by its use of a dynamic observer model to asymptotically infer the internal states of a system from measurable outputs and known inputs.

396

Publications

17K

Citations

1.1K

Authors

517

Institutions

Publications per year

2017–2026

152

Authors

1.1K

  1. JW
    Junmin Wang

    The Ohio State University, United States

    6 publications · 163 citations

    6

    h-index

  2. GB
    Gildas Besançon

    GIPSA-Lab, France

    6 publications · 142 citations

    6

    h-index

  3. BC
    Boli Chen

    University College London, United Kingdom

    5 publications · 108 citations

    5

    h-index

  4. GP
    Gilberto Pin

    University of Trieste, Italy

    5 publications · 108 citations

    5

    h-index

  5. TP
    Thomas Parisini

    University of Trieste, Italy

    5 publications · 108 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Industrial Electronics

    16 publications · 2.2K citations

    15

    h-index

  2. IEEE Transactions on Automatic Control

    14 publications · 1.4K citations

    14

    h-index

  3. IEEE Transactions on Control Systems Technology

    12 publications · 476 citations

    12

    h-index

  4. Automatica

    12 publications · 547 citations

    11

    h-index

  5. Journal of the Franklin Institute

    11 publications · 347 citations

    11

    h-index

1–5