Intelligent Control

Intelligent Control is a control methodology that integrates computational intelligence techniques—such as fuzzy logic, neural networks, and evolutionary algorithms—within dynamic control systems to enable adaptive, autonomous, and knowledge-based decision-making in uncertain or complex environments.

6.4K

Publications

304.1K

Citations

16.7K

Authors

3.4K

Institutions

Publications per year

2017–2026

2.1K

Variants

Intelligent Control Systems

Authors

16.7K

  1. OC
    Oscar Castillo

    Instituto Tecnológico de Tijuana, Mexico

    54 publications · 3.1K citations

    30

    h-index

  2. FW
    Fei–Yue Wang

    Chinese Academy of Sciences, China

    38 publications · 3.9K citations

    27

    h-index

  3. PM
    Patricia Melín

    Instituto Tecnológico de Tijuana, Mexico

    30 publications · 2.2K citations

    22

    h-index

  4. GS
    G.N. Saridis

    Rensselaer Polytechnic Institute, United States

    23 publications · 1.5K citations

    18

    h-index

  5. FL
    Faa‐Jeng Lin

    National Central University, Taiwan

    20 publications · 1.2K citations

    17

    h-index

1–5 of 16.7K

Venues

  1. IEEE Transactions on Industrial Electronics

    89 publications · 8.5K citations

    51

    h-index

  2. Fuzzy Sets and Systems

    90 publications · 6K citations

    45

    h-index

  3. IEEE Access

    97 publications · 4.6K citations

    37

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 48 publications · 5.7K citations

    36

    h-index

  5. Expert Systems with Applications

    51 publications · 2.5K citations

    32

    h-index

1–5