Model-based Process Control
Model-Based Process Control is a process control strategy that employs a mathematical model of the drying system to predict and regulate drying dynamics during secondary drying, distinguishing it from empirical or rule-based control methods by relying on first-principles or data-driven system representations for real-time decision-making.
380
Publications
13.9K
Citations
1.1K
Authors
397
Institutions
Publications per year
2017–2026
94
Parents
380
A Requirements Driven Digital Twin Framework: Specification and Opportunities
James Moyne, Yassine Qamsane, Efe C. Balta et al. · IEEE Access · 2020 · 216 citations · Full text
Engineering, Manufacturing Engineering, Systems Engineering +17
Model-based control of fuel cells:
Joshua Golbert, Daniel R. Lewin · Journal of Power Sources · 2004 · 194 citations
Engineering, Chemical Engineering, Mechanical Engineering +14
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Centre National de la Recherche Scientifique
Paris, France
10 h-index
20 publications
959 citations
Technical University of Denmark
Kongens Lyngby, Denmark
8 h-index
25 publications
755 citations
Purdue University West Lafayette
West Lafayette, United States
8 h-index
19 publications
524 citations
Texas Tech University
Lubbock, United States
6 h-index
16 publications
299 citations
The University of Texas at Austin
Austin, United States
6 h-index
13 publications
559 citations

Imperial College London
London, United Kingdom
6 h-index
15 publications
1.2K citations
Université Claude Bernard Lyon 1
Villeurbanne, France
6 h-index
14 publications
771 citations
Texas A&M University
College Station, United States
6 h-index
12 publications
678 citations
1–8 of 397
19 publications · 910 citations
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16 publications · 636 citations
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18 publications · 574 citations
14
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16 publications · 503 citations
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13 publications · 539 citations
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