Adaptive Fuzzy Control is a control methodology that integrates fuzzy logic systems with adaptive algorithms to dynamically adjust controller parameters in response to uncertain or time-varying system dynamics, thereby enabling accurate tracking and stabilization without requiring precise mathematical models of the system.
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Citations
10.2K
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2017–2026
2.2K
Parents
Publications
5.1K
Neuro-fuzzy modeling and control
Jyh‐Shing Roger Jang, Chuen–Tsai Sun · Proceedings of the IEEE · 1995 · 2.3K citations
Adaptive fuzzy systems and control
Witold Pedrycz · Control Engineering Practice · 1994 · 884 citations
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- ST
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- YL
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- HW
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- ZL
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2.3K
Liaoning University of Technology
Jinzhou, China
93 h-index
625 publications
64.8K citations
Bohai University
Jinzhou, China
65 h-index
277 publications
30.7K citations
Northeastern University
Shenyang, China
58 h-index
435 publications
23.3K citations
Dalian Maritime University
Dalian, China
53 h-index
195 publications
16.5K citations
Guangdong University of Technology
Guangzhou, China
49 h-index
242 publications
19.4K citations
Harbin Institute of Technology
Harbin, China
48 h-index
194 publications
18.8K citations
Qingdao University
Qingdao, China
47 h-index
240 publications
20.3K citations
South China University of Technology
Guangzhou, China
41 h-index
119 publications
8.9K citations
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Venues
- IEEE Transactions on Fuzzy Systems
TFS · 473 publications · 54.9K citations
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- IEEE Transactions on Cybernetics
125 publications · 15.9K citations
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- Fuzzy Sets and Systems
165 publications · 12K citations
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- IEEE Transactions on Industrial Electronics
75 publications · 8.9K citations
56
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- IEEE Transactions on Systems Man and Cybernetics Systems
83 publications · 9.5K citations
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