Adaptive Neural Control

Adaptive Neural Control is a control framework that integrates neural networks with adaptive mechanisms to enable real-time learning and adjustment of system parameters in response to dynamic uncertainties and nonlinearities.

3.8K

Publications

231.6K

Citations

7K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.6K

Authors

7K

  1. SS
    Shuzhi Sam Ge

    National University of Singapore, Singapore

    98 publications · 14.4K citations

    52

    h-index

  2. CL
    C. L. Philip Chen

    South China University of Technology, China

    66 publications · 8.2K citations

    43

    h-index

  3. ST
    Shaocheng Tong

    Liaoning University of Technology, China

    44 publications · 6.5K citations

    40

    h-index

  4. WH
    Wei He

    University of Science and Technology Beijing, China

    41 publications · 8.4K citations

    36

    h-index

  5. HW
    Huanqing Wang

    Bohai University, China

    49 publications · 4K citations

    34

    h-index

1–5 of 7K

Venues

  1. 98

    h-index

  2. IEEE Transactions on Cybernetics

    118 publications · 17.3K citations

    76

    h-index

  3. 65

    h-index

  4. IEEE Transactions on Neural Networks

    103 publications · 25.7K citations

    64

    h-index

  5. IEEE Transactions on Industrial Electronics

    90 publications · 9.8K citations

    60

    h-index

1–5