Adaptive Dynamic Control
Adaptive Dynamic Control is a control framework within manipulator dynamics that belongs to the class of adaptive control methods, distinguished by its ability to continuously adjust control parameters in real-time based on online estimation of dynamic model uncertainties to ensure accurate trajectory tracking despite unknown or varying system dynamics.
244
Publications
10.5K
Citations
674
Authors
297
Institutions
Publications per year
2017–2026
115
244
1–5 of 244
674
University of Illinois Urbana-Champaign, United States
5 publications · 150 citations
5
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5
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5
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4
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4
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1–5 of 674
297

Beihang University
Beijing, China
9 h-index
15 publications
454 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
19 publications
1.6K citations

Harbin Institute of Technology
Harbin, China
6 h-index
17 publications
785 citations
Shandong Institute of Automation
Jinan, China
6 h-index
19 publications
1.5K citations
Tsinghua University
Beijing, China
5 h-index
11 publications
242 citations

Northeastern University
Shenyang, China
5 h-index
10 publications
529 citations
National University of San Juan
San Juan, Argentina
5 h-index
12 publications
677 citations
Texas A&M University
College Station, United States
4 h-index
11 publications
344 citations
1–8 of 297
8 publications · 446 citations
8
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7 publications · 206 citations
7
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6 publications · 231 citations
6
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IJRCEA · 4 publications · 144 citations
5
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5 publications · 93 citations
5
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1–5