Stochastic Dynamical Systems

Stochastic Dynamical Systems is a mathematical framework that models the evolution of states over time through deterministic laws perturbed by random processes, distinguishing it from purely deterministic dynamical systems by incorporating probabilistic transitions and noise-induced behaviors.

4.5K

Publications

278.2K

Citations

6.9K

Authors

2.1K

Institutions

Publications per year

2017–2026

1K

Variants

Stochastic Dynamical System

Authors

6.9K

  1. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    33 publications · 2.5K citations

    24

    h-index

  2. JD
    Jinqiao Duan

    Illinois Institute of Technology, United States

    33 publications · 1.5K citations

    22

    h-index

  3. TC
    Tomás Caraballo

    Universidad de Sevilla, Spain

    24 publications · 1.3K citations

    22

    h-index

  4. HW
    Hong Wang

    University of Manchester, United Kingdom

    32 publications · 1.4K citations

    21

    h-index

  5. BW
    Bixiang Wang

    New Mexico Institute of Mining and Technology, United States

    24 publications · 1.8K citations

    21

    h-index

1–5 of 6.9K

Venues

  1. IEEE Transactions on Automatic Control

    193 publications · 14.4K citations

    63

    h-index

  2. Physical Review Letters

    PRL · 93 publications · 9.7K citations

    54

    h-index

  3. Automatica

    93 publications · 8.8K citations

    48

    h-index

  4. 46

    h-index

  5. Physical Review E

    PRE · 133 publications · 5.9K citations

    42

    h-index

1–5