Model Predictive Control For Reactors
Model Predictive Control for Reactors is a model-based advanced control strategy that systematically optimizes reactor power levels and manages neutron flux dynamics by predicting future system behavior over a finite horizon and adjusting control inputs accordingly to satisfy safety and operational constraints.
117
Publications
4.2K
Citations
324
Authors
138
Institutions
Publications per year
2017–2026
33
117
1–5 of 117
324
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138

Chosun University
Gwangju, South Korea
5 h-index
11 publications
425 citations
Politecnico di Milano
Milan, Italy
4 h-index
8 publications
381 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
7 publications
943 citations

University of Alberta
Edmonton, Canada
4 h-index
11 publications
238 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
3 publications
258 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
5 publications
81 citations
National University of Singapore
Singapore, Singapore
3 h-index
8 publications
172 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
255 citations
1–8 of 138
13 publications · 371 citations
12
h-index
10 publications · 237 citations
10
h-index
9 publications · 402 citations
9
h-index
5 publications · 350 citations
5
h-index
6 publications · 146 citations
5
h-index
1–5