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
6.4K
Neural networks for control systems—A survey
Kate Hunt, Daniel Sbárbaro, R. Żbikowski et al. · Automatica · 1992 · 1.9K citations
1–5 of 6.4K
16.7K
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17
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3.4K
Tsinghua University
Beijing, China
34 h-index
162 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
32 h-index
160 publications
10.9K citations
Nanyang Technological University
Singapore, Singapore
28 h-index
128 publications
9.5K citations
Yuan Ze University
Taoyuan District, Taiwan
26 h-index
80 publications
3.9K citations
The Ohio State University
Columbus, United States
24 h-index
77 publications
5.1K citations
Instituto Tecnológico de Tijuana
Tijuana, Mexico
24 h-index
113 publications
7K citations

Centre National de la Recherche Scientifique
Paris, France
23 h-index
62 publications
2.9K citations

Beihang University
Beijing, China
23 h-index
87 publications
4.5K citations
1–8 of 3.4K
89 publications · 8.5K citations
51
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90 publications · 6K citations
45
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97 publications · 4.6K citations
37
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TFS · 48 publications · 5.7K citations
36
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51 publications · 2.5K citations
32
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1–5