Adaptive Robust Control

Adaptive Robust Control is a control methodology within robust control theory that integrates adaptive mechanisms to handle structured uncertainties and unknown parameters while maintaining stability and performance guarantees under unstructured perturbations.

1.1K

Publications

53.3K

Citations

2.3K

Authors

723

Institutions

Publications per year

2017–2026

449

Authors

2.3K

  1. BY
    Bin Yao

    Purdue University West Lafayette, United States

    118 publications · 9.3K citations

    52

    h-index

  2. ZC
    Zheng Chen

    Zhejiang University, China

    36 publications · 2.9K citations

    29

    h-index

  3. YC
    Ye‐Hwa Chen

    Georgia Institute of Technology, United States

    33 publications · 1.3K citations

    24

    h-index

  4. HZ
    Han Zhao

    Hefei University of Technology, China

    17 publications · 511 citations

    15

    h-index

  5. KS
    Khoshnam Shojaei

    Islamic Azad University of Najafabad, Iran

    14 publications · 579 citations

    14

    h-index

1–5 of 2.3K

Venues

  1. IEEE/ASME Transactions on Mechatronics

    37 publications · 4.8K citations

    32

    h-index

  2. IEEE Transactions on Control Systems Technology

    34 publications · 3.6K citations

    30

    h-index

  3. IEEE Transactions on Industrial Electronics

    32 publications · 3.2K citations

    29

    h-index

  4. Automatica

    34 publications · 3.5K citations

    27

    h-index

  5. IEEE Transactions on Automatic Control

    32 publications · 3.9K citations

    26

    h-index

1–5