Nonlinear State-space Models

Nonlinear State-Space Models is a dynamic system model that characterizes the evolution of a system's state and its observations through nonlinear functions, distinguishing it from linear state-space models by capturing complex, non-additive interactions in the state transition and observation processes.

502

Publications

31.1K

Citations

1.2K

Authors

537

Institutions

Publications per year

2017–2026

117

Variants

Nonlinear State-space Model

Authors

1.2K

  1. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    16 publications · 713 citations

    14

    h-index

  2. TB
    Thomas B. Schön

    Linköping University, Sweden

    12 publications · 1.6K citations

    11

    h-index

  3. FL
    Fredrik Lindsten

    Linköping University, Sweden

    8 publications · 386 citations

    8

    h-index

  4. KT
    Koen Tiels

    Vrije Universiteit Brussel, Belgium

    8 publications · 321 citations

    8

    h-index

  5. FD
    Feng Ding

    Jiangnan University, China

    6 publications · 247 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Automatic Control

    13 publications · 439 citations

    13

    h-index

  2. IEEE Transactions on Signal Processing

    13 publications · 1.7K citations

    12

    h-index

  3. Automatica

    11 publications · 1.3K citations

    10

    h-index

  4. SSRN Electronic Journal

    Repository · 10 publications · 235 citations

    10

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 9 publications · 307 citations

    9

    h-index

1–5