Decentralized State Estimation

Decentralized State Estimation is a distributed sensing framework in which multiple spatially separated sensor nodes independently compute local state estimates using locally available measurements and limited inter-node communication, without relying on a central fusion center to assimilate all data.

325

Publications

20.4K

Citations

734

Authors

334

Institutions

Publications per year

2017–2026

84

Authors

734

  1. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    9 publications · 897 citations

    9

    h-index

  2. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    7 publications · 987 citations

    7

    h-index

  3. JL
    Jason L. Speyer

    University of California, Los Angeles, United States

    6 publications · 478 citations

    6

    h-index

  4. AM
    Antonello Monti

    RWTH Aachen University, Germany

    5 publications · 175 citations

    5

    h-index

  5. FP
    Ferdinanda Ponci

    RWTH Aachen University, Germany

    5 publications · 175 citations

    5

    h-index

1–5 of 734

Venues

  1. IEEE Transactions on Automatic Control

    25 publications · 2.6K citations

    21

    h-index

  2. Automatica

    25 publications · 2.2K citations

    19

    h-index

  3. IEEE Transactions on Power Systems

    18 publications · 2.3K citations

    17

    h-index

  4. IEEE Transactions on Signal Processing

    14 publications · 1.6K citations

    13

    h-index

  5. IEEE Transactions on Cybernetics

    7 publications · 561 citations

    7

    h-index

1–5