Steady-state Real-time Optimization
Steady-State Real-Time Optimization is a real-time optimization framework that belongs to the class of steady-state optimization methods, distinguished by its focus on driving a process to its optimal steady-state operation while continuously accounting for disturbances and model inaccuracies through online measurement-based updates.
16
Publications
505
Citations
43
Authors
21
Institutions
Publications per year
2017–2026
9
Parents
16
1–5 of 16
43
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 43
21
Norwegian University of Science and Technology
Trondheim, Norway
4 h-index
9 publications
438 citations

McMaster University
Hamilton, Canada
2 h-index
2 publications
28 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
4 publications
72 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
7 publications
121 citations
Centro Internacional Franco-Argentino de Ciencias de la Información y de Sistemas
Rosario, Argentina
1 h-index
1 publications
78 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
56 citations

Universidade Federal da Bahia
Salvador, Brazil
1 h-index
2 publications
68 citations
University of Utah
Salt Lake City, United States
1 h-index
3 publications
69 citations
1–8 of 21
3 publications · 127 citations
4
h-index
3 publications · 49 citations
3
h-index
2 publications · 105 citations
2
h-index
2 publications · 59 citations
2
h-index
1 publications · 59 citations
1
h-index
1–5