Decentralized Estimation

Decentralized Estimation is a state estimation framework in which multiple spatially distributed nodes independently compute local estimates using only locally sensed data and limited inter-node communication, without reliance on a central fusion center to coordinate or aggregate global information.

311

Publications

22.3K

Citations

670

Authors

310

Institutions

Publications per year

2017–2026

67

Authors

670

  1. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    11 publications · 1.7K citations

    11

    h-index

  2. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    8 publications · 1.6K citations

    8

    h-index

  3. JX
    Jin‐Jun Xiao

    University of Minnesota, United States

    8 publications · 1.1K citations

    8

    h-index

  4. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    5 publications · 364 citations

    5

    h-index

  5. ZL
    Zhi‐Quan Luo

    University of Minnesota, United States

    5 publications · 556 citations

    5

    h-index

1–5 of 670

Venues

  1. IEEE Transactions on Signal Processing

    36 publications · 4.5K citations

    27

    h-index

  2. IEEE Transactions on Power Systems

    17 publications · 2.2K citations

    16

    h-index

  3. Automatica

    18 publications · 1.7K citations

    16

    h-index

  4. IEEE Transactions on Automatic Control

    16 publications · 2.2K citations

    14

    h-index

  5. IEEE Transactions on Information Theory

    7 publications · 1.2K citations

    7

    h-index

1–5