Neural Network-based Tuning
Neural Network-Based Tuning is a controller tuning method that employs artificial neural networks to learn and optimize control parameters from system data, distinguishing itself from conventional tuning approaches by leveraging data-driven, nonlinear mapping capabilities for adaptive and intelligent adjustment of controller gains.
200
Publications
9.1K
Citations
517
Authors
255
Institutions
Publications per year
2017–2026
43
Parents
200
1–5 of 200
517
9
h-index
8
h-index
5
h-index
4
h-index
4
h-index
1–5 of 517
255
Robotics Research (United States)
Cincinnati, United States
8 h-index
17 publications
2.2K citations
Osaka Prefecture University
Sakai, Japan
7 h-index
14 publications
411 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
7 h-index
11 publications
462 citations
University of Technology Malaysia
Johor Bahru, Malaysia
7 h-index
14 publications
434 citations

Polytechnic University of Timişoara
Timișoara, Romania
5 h-index
29 publications
1K citations
Yuan Ze University
Taoyuan District, Taiwan
4 h-index
4 publications
122 citations

North China Electric Power University
Beijing, China
4 h-index
10 publications
157 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
617 citations
1–8 of 255
5 publications · 342 citations
5
h-index
5 publications · 231 citations
5
h-index
5 publications · 218 citations
5
h-index
4 publications · 135 citations
4
h-index
4 publications · 225 citations
4
h-index
1–5