Markov Jump Systems

Markov Jump Systems is a stochastic dynamic system in which the evolution of the system state follows a Markovian jump process, such that transitions between different operational modes are governed by a continuous-time Markov chain and each mode corresponds to a distinct deterministic or stochastic subsystem.

2.2K

Publications

122.1K

Citations

2.6K

Authors

807

Institutions

Publications per year

2017–2026

1K

Variants

Markovian Jump Systems

Authors

2.6K

  1. PS
    Peng Shi

    The University of Adelaide, Australia

    128 publications · 13.6K citations

    62

    h-index

  2. ZW
    Zheng‐Guang Wu

    Zhejiang University, China

    66 publications · 6.9K citations

    48

    h-index

  3. JH
    Ju H. Park

    Yeungnam University, South Korea

    72 publications · 6.1K citations

    45

    h-index

  4. HS
    Hao Shen

    Anhui University of Technology, China

    87 publications · 7.6K citations

    44

    h-index

  5. FL
    Fei Liu

    Jiangnan University, China

    73 publications · 3.7K citations

    35

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Automatic Control

    160 publications · 20.7K citations

    77

    h-index

  2. Automatica

    113 publications · 13K citations

    60

    h-index

  3. IEEE Transactions on Cybernetics

    80 publications · 6.8K citations

    49

    h-index

  4. 40

    h-index

  5. International Journal of Robust and Nonlinear Control

    IJRCEA · 116 publications · 5K citations

    39

    h-index

1–5