Quantized Consensus

Quantized Consensus is a consensus algorithm in distributed multi-agent systems where the agents' states are restricted to discrete, quantized values, distinguishing it from continuous-state consensus methods by enforcing finite precision in information exchange and state updates.

118

Publications

6.6K

Citations

259

Authors

124

Institutions

Publications per year

2017–2026

48

Authors

259

  1. PF
    Paolo Frasca

    Politecnico di Torino, Italy

    10 publications · 1.1K citations

    10

    h-index

  2. SZ
    Sandro Zampieri

    University of Padua, Italy

    9 publications · 936 citations

    9

    h-index

  3. RC
    Ruggero Carli

    University of Padua, Italy

    9 publications · 936 citations

    9

    h-index

  4. TB
    Tamer Başar

    University of Illinois Urbana-Champaign, United States

    7 publications · 1K citations

    7

    h-index

  5. FF
    Fabio Fagnani

    Politecnico di Torino, Italy

    7 publications · 704 citations

    7

    h-index

1–5 of 259

Venues

  1. Automatica

    12 publications · 2.1K citations

    12

    h-index

  2. IEEE Transactions on Automatic Control

    9 publications · 597 citations

    9

    h-index

  3. Journal of the Franklin Institute

    7 publications · 239 citations

    7

    h-index

  4. International Journal of Robust and Nonlinear Control

    IJRCEA · 5 publications · 521 citations

    5

    h-index

  5. IEEE Transactions on Signal Processing

    5 publications · 231 citations

    5

    h-index

1–5