Distributed Consensus Estimation

Distributed Consensus Estimation is a computational framework within distributed systems that enables a network of autonomous agents to iteratively aggregate local observations and neighboring information to reach asymptotic agreement on a global estimate, distinguished by its reliance on decentralized information exchange without centralized coordination.

31

Publications

2.3K

Citations

85

Authors

56

Institutions

Publications per year

2017–2026

14

Authors

85

  1. WY
    Wen Yang

    East China University of Science and Technology, China

    3 publications · 134 citations

    3

    h-index

  2. YC
    Yuan Chen

    Carnegie Mellon University, United States

    2 publications · 139 citations

    2

    h-index

  3. SL
    Shuai Li

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 42 citations

    2

    h-index

  4. HS
    Hongbo Shi

    East China University of Science and Technology, China

    2 publications · 76 citations

    2

    h-index

  5. JM
    José M. F. Moura

    Carnegie Mellon University, United States

    2 publications · 139 citations

    2

    h-index

1–5 of 85

Venues

  1. IEEE Transactions on Signal Processing

    6 publications · 399 citations

    6

    h-index

  2. Automatica

    3 publications · 501 citations

    3

    h-index

  3. Autonomous Intelligent Systems

    1 publications · 17 citations

    1

    h-index

  4. Systems & Control Letters

    1 publications · 136 citations

    1

    h-index

  5. IEEE Transactions on Industrial Informatics

    1 publications · 58 citations

    1

    h-index

1–5