Output Estimation

Output Estimation is a state-space modeling technique that belongs to the class of inference methods designed to reconstruct the observable variables of a dynamic system from partial or noisy measurements, distinguished by its focus on approximating the true output trajectory based on estimated internal states and system dynamics.

248

Publications

16.7K

Citations

537

Authors

272

Institutions

Publications per year

2017–2026

63

Authors

537

  1. FD
    Feng Ding

    Jiangnan University, China

    8 publications · 1.1K citations

    8

    h-index

  2. KF
    Krzysztof Fidkowski

    University of Michigan, United States

    5 publications · 473 citations

    6

    h-index

  3. BJ
    Bin Jiang

    Nanjing University of Aeronautics and Astronautics, China

    5 publications · 294 citations

    5

    h-index

  4. DD
    David Darmofal

    Massachusetts Institute of Technology, United States

    5 publications · 690 citations

    5

    h-index

  5. JP
    João P. Hespanha

    University of California, Santa Barbara, United States

    4 publications · 67 citations

    4

    h-index

1–5 of 537

Venues

  1. IEEE Transactions on Automatic Control

    12 publications · 874 citations

    12

    h-index

  2. Automatica

    12 publications · 2K citations

    11

    h-index

  3. IET Control Theory and Applications

    7 publications · 301 citations

    7

    h-index

  4. International Journal of Control

    6 publications · 450 citations

    6

    h-index

  5. Asian Journal of Control

    4 publications · 79 citations

    4

    h-index

1–5