Robust Nonlinear Control

Robust Nonlinear Control is a control methodology that belongs to the class of nonlinear control strategies and is distinguished by its ability to maintain stability and performance of dynamical systems under modeling uncertainties, external disturbances, and parameter variations through explicitly designed invariant or adaptive mechanisms.

2.7K

Publications

139K

Citations

5.2K

Authors

1.5K

Institutions

Publications per year

2017–2026

780

Authors

5.2K

  1. BY
    Bin Yao

    Purdue University West Lafayette, United States

    28 publications · 3.5K citations

    24

    h-index

  2. PS
    Peng Shi

    The University of Adelaide, Australia

    21 publications · 1.5K citations

    18

    h-index

  3. ZQ
    Zhihua Qu

    University of Central Florida, United States

    21 publications · 1K citations

    17

    h-index

  4. MD
    Mingcong Deng

    Tokyo University of Agriculture and Technology, Japan

    29 publications · 1K citations

    17

    h-index

  5. PK
    P.V. Kokotović

    University of California, Santa Barbara, United States

    18 publications · 2.5K citations

    16

    h-index

1–5 of 5.2K

Venues

  1. Automatica

    141 publications · 16.2K citations

    73

    h-index

  2. IEEE Transactions on Automatic Control

    144 publications · 19K citations

    72

    h-index

  3. IEEE Transactions on Industrial Electronics

    48 publications · 8.1K citations

    40

    h-index

  4. IEEE Transactions on Control Systems Technology

    52 publications · 4.2K citations

    38

    h-index

  5. International Journal of Robust and Nonlinear Control

    IJRCEA · 95 publications · 4.9K citations

    37

    h-index

1–5