Robust Stochastic Stability

Robust Stochastic Stability is a stochastic stability property characterized by the invariance of stability criteria under perturbations or uncertainties in the underlying probabilistic model, distinguishing it from standard stochastic stability by explicitly accounting for model robustness.

286

Publications

13.4K

Citations

584

Authors

309

Institutions

Publications per year

2017–2026

50

Authors

584

  1. PS
    Peng Shi

    The University of Adelaide, Australia

    15 publications · 1.6K citations

    14

    h-index

  2. SX
    Shengyuan Xu

    Nanjing University of Science and Technology, China

    12 publications · 1.1K citations

    11

    h-index

  3. PB
    P. Balasubramaniam

    Gandhigram Rural Institute, India

    8 publications · 328 citations

    8

    h-index

  4. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    7 publications · 793 citations

    7

    h-index

  5. JX
    Jianwei Xia

    Liaocheng University, China

    6 publications · 115 citations

    7

    h-index

1–5 of 584

Venues

  1. Neurocomputing

    24 publications · 984 citations

    20

    h-index

  2. International Journal of Robust and Nonlinear Control

    IJRCEA · 15 publications · 1K citations

    15

    h-index

  3. IEEE Transactions on Automatic Control

    15 publications · 1.6K citations

    14

    h-index

  4. 11

    h-index

  5. IET Control Theory and Applications

    10 publications · 301 citations

    10

    h-index

1–5