Sampled-data Consensus

Sampled-Data Consensus is a consensus algorithm in which agents in a multi-agent system update their states at discrete sampling instants based on intermittent measurements of neighboring agents' states, thereby distinguishing it from continuous-time consensus strategies by its reliance on periodic, sampled data exchanges.

77

Publications

5.4K

Citations

204

Authors

91

Institutions

Publications per year

2017–2026

35

Authors

204

  1. JW
    Jiwei Wen

    Jiangnan University, China

    5 publications · 79 citations

    5

    h-index

  2. LX
    Linbo Xie

    Jiangnan University, China

    5 publications · 79 citations

    5

    h-index

  3. ZW
    Zhihai Wu

    Jiangnan University, China

    4 publications · 66 citations

    4

    h-index

  4. GC
    Guanrong Chen

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 750 citations

    4

    h-index

  5. JC
    Jinde Cao

    Southeast University, China

    4 publications · 636 citations

    4

    h-index

1–5 of 204

Venues

  1. Automatica

    9 publications · 2.3K citations

    9

    h-index

  2. International Journal of Control

    7 publications · 338 citations

    7

    h-index

  3. Journal of the Franklin Institute

    7 publications · 296 citations

    7

    h-index

  4. Neurocomputing

    6 publications · 554 citations

    6

    h-index

  5. 4

    h-index

1–5