Heuristic Tuning
Heuristic Tuning is a controller tuning method that relies on经验-based rules or intuitive guidelines derived from practical expertise and observational knowledge rather than rigorous mathematical optimization or systematic identification of system dynamics.
126
Publications
5.8K
Citations
373
Authors
181
Institutions
Publications per year
2017–2026
55
Parents
126
Mark W. Stephenson, Saman Amarasinghe, Martín Martín et al. · ACM SIGPLAN Notices · 2003 · 249 citations
Mihailo Micev, Martin Ćalasan, Ziad M. Ali et al. · Ain Shams Engineering Journal · 2020 · 146 citations · Full text
Engineering, Computational Engineering, Design Optimization +16
Alejandro Rodríguez-Molina, Efrén Mezura‐Montes, Miguel Gabriel Villarreal-Cervantes et al. · Applied Soft Computing · 2020 · 128 citations
Natural Sciences, Systems Engineering, Artificial Intelligence +15
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181

Batman University
Batman, Türkiye
3 h-index
6 publications
286 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
11 publications
1.6K citations

Anna University, Chennai
Chennai, India
3 h-index
5 publications
200 citations

University of British Columbia
Vancouver, Canada
3 h-index
9 publications
394 citations

University of Essex
Colchester, United Kingdom
2 h-index
4 publications
102 citations

Universidad de Málaga
Málaga, Spain
2 h-index
6 publications
240 citations
St. Joseph's Institute of Technology
Chennai, India
2 h-index
3 publications
164 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
191 citations
1–8 of 181
Repository · 4 publications · 50 citations
4
h-index
3 publications · 106 citations
3
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3 publications · 88 citations
3
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2 publications · 120 citations
2
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2 publications · 74 citations
2
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