Online System Identification

Online System Identification is a system identification method that continuously estimates model parameters in real time from streaming data, distinguishing itself from batch or offline approaches by enabling adaptive updates as new input-output observations become available.

508

Publications

25.2K

Citations

1.4K

Authors

524

Institutions

Publications per year

2017–2026

182

Variants

Real-time System Identification

Authors

1.4K

  1. RG
    Ronald G. Harley

    Georgia Institute of Technology, United States

    7 publications · 244 citations

    7

    h-index

  2. LB
    Loïc Boulon

    Université du Québec à Trois-Rivières, Canada

    7 publications · 261 citations

    7

    h-index

  3. JZ
    Junbo Zhang

    South China University of Technology, China

    7 publications · 415 citations

    7

    h-index

  4. PA
    Plamen Angelov

    Lancaster University, United Kingdom

    6 publications · 1.3K citations

    6

    h-index

  5. GK
    Ganesh K. Venayagamoorthy

    Missouri University of Science and Technology, United States

    6 publications · 191 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Industrial Electronics

    23 publications · 2.5K citations

    20

    h-index

  2. IEEE Transactions on Power Systems

    16 publications · 896 citations

    15

    h-index

  3. IEEE Transactions on Automatic Control

    16 publications · 852 citations

    14

    h-index

  4. IEEE Transactions on Industry Applications

    12 publications · 763 citations

    12

    h-index

  5. IEEE Transactions on Control Systems Technology

    10 publications · 502 citations

    10

    h-index

1–5