Adaptive State Estimation

Adaptive State Estimation is a state estimation method that dynamically adjusts its model or parameters in response to changes in system dynamics or noise characteristics to maintain optimal estimation accuracy.

275

Publications

12.3K

Citations

781

Authors

368

Institutions

Publications per year

2017–2026

94

Authors

781

  1. JM
    J.B. Moore

    Australian National University, Australia

    5 publications · 297 citations

    5

    h-index

  2. PM
    P.S. Maybeck

    U.S. Air Force Institute of Technology, United States

    5 publications · 317 citations

    5

    h-index

  3. RM
    R. Moose

    Virginia Tech, United States

    5 publications · 353 citations

    5

    h-index

  4. SW
    Shunli Wang

    Southwest University of Science and Technology, China

    5 publications · 178 citations

    5

    h-index

  5. NZ
    Ning Zhou

    Pacific Northwest National Laboratory, United States

    4 publications · 461 citations

    4

    h-index

1–5 of 781

Venues

  1. IEEE Transactions on Automatic Control

    17 publications · 1.5K citations

    17

    h-index

  2. 8

    h-index

  3. Automatica

    7 publications · 209 citations

    7

    h-index

  4. 6

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 5 publications · 423 citations

    5

    h-index

1–5