Mean Square Stability

Mean Square Stability is a stochastic stability criterion in which a system's equilibrium is considered stable if the expected value of the squared deviation from the equilibrium state converges to zero over time.

823

Publications

46.8K

Citations

1.4K

Authors

570

Institutions

Publications per year

2017–2026

270

Variants

Mean-square Stability

Authors

1.4K

  1. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    31 publications · 3.4K citations

    28

    h-index

  2. PS
    Peng Shi

    The University of Adelaide, Australia

    25 publications · 2.8K citations

    23

    h-index

  3. JC
    Jinde Cao

    Southeast University, China

    18 publications · 1.8K citations

    17

    h-index

  4. QZ
    Quanxin Zhu

    Hunan Normal University, China

    16 publications · 1K citations

    15

    h-index

  5. ZW
    Zheng‐Guang Wu

    Zhejiang University, China

    14 publications · 1K citations

    14

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Automatic Control

    102 publications · 11K citations

    53

    h-index

  2. IEEE Transactions on Cybernetics

    27 publications · 2.5K citations

    25

    h-index

  3. International Journal of Robust and Nonlinear Control

    IJRCEA · 42 publications · 1.7K citations

    24

    h-index

  4. 23

    h-index

  5. IEEE Transactions on Signal Processing

    25 publications · 1.9K citations

    20

    h-index

1–5