Stochastic System Identification

Stochastic System Identification is a system identification method that belongs to the class of identification techniques and specifically involves the estimation of dynamic models from observed data in the presence of random disturbances, where the distinguishing feature is the explicit incorporation of stochastic processes to characterize noise and uncertainty in the system's behavior.

527

Publications

38.1K

Citations

1K

Authors

458

Institutions

Publications per year

2017–2026

110

Authors

1K

  1. FD
    Feng Ding

    Jiangnan University, China

    16 publications · 1.8K citations

    15

    h-index

  2. LL
    Lennart Ljung

    Linköping University, Sweden

    9 publications · 1.8K citations

    9

    h-index

  3. SD
    Spilios D. Fassois

    University of Patras, Greece

    9 publications · 275 citations

    9

    h-index

  4. BD
    Bart De Moor

    KU Leuven, Belgium

    8 publications · 3.4K citations

    8

    h-index

  5. NB
    N.J. Bershad

    University of California, Irvine, United States

    8 publications · 267 citations

    8

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Automatic Control

    46 publications · 5K citations

    29

    h-index

  2. Automatica

    36 publications · 4.5K citations

    23

    h-index

  3. Mechanical Systems and Signal Processing

    MSSP · 26 publications · 1.9K citations

    22

    h-index

  4. IEEE Transactions on Signal Processing

    17 publications · 662 citations

    16

    h-index

  5. International Journal of Control

    18 publications · 2.7K citations

    12

    h-index

1–5