State-space Identification

State-Space Identification is a system identification method that belongs to the class of model estimation techniques and specifically involves determining the state-space representation of a dynamic system from input-output data by estimating its state transition and output matrices.

1.5K

Publications

79.8K

Citations

2.5K

Authors

872

Institutions

Publications per year

2017–2026

264

Authors

2.5K

  1. FD
    Feng Ding

    Jiangnan University, China

    41 publications · 4K citations

    30

    h-index

  2. MV
    Michel Verhaegen

    Delft University of Technology, Netherlands

    53 publications · 4.7K citations

    29

    h-index

  3. LL
    Lennart Ljung

    Linköping University, Sweden

    38 publications · 5.4K citations

    28

    h-index

  4. BD
    Bart De Moor

    KU Leuven, Belgium

    29 publications · 5.8K citations

    21

    h-index

  5. RP
    Rik Pintelon

    Vrije Universiteit Brussel, Belgium

    16 publications · 951 citations

    15

    h-index

1–5 of 2.5K

Venues

  1. Automatica

    156 publications · 20.6K citations

    66

    h-index

  2. IEEE Transactions on Automatic Control

    77 publications · 5.2K citations

    38

    h-index

  3. IFAC Proceedings Volumes

    95 publications · 2.6K citations

    25

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 31 publications · 1.6K citations

    24

    h-index

  5. IEEE Transactions on Power Systems

    26 publications · 1.8K citations

    22

    h-index

1–5