Adaptive Batch Control
Adaptive Batch Control is a batch process control strategy that dynamically modifies its control parameters or structure in response to real-time process variations, disturbances, or model uncertainties to maintain optimal performance throughout the batch execution.
10
Publications
404
Citations
39
Authors
19
Institutions
Publications per year
2017–2026
6
Parents
10
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach
Yansheng Wang, Yongxin Tong, Cheng Long et al. · 2019 · 99 citations · Full text
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University of Maryland, College Park
College Park, United States
2 h-index
5 publications
307 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
84 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
21 citations
University of Science and Technology of China
Hefei, China
1 h-index
6 publications
546 citations

Northeastern University
Shenyang, China
1 h-index
1 publications
21 citations
Mississippi State University
Starkville, United States
1 h-index
1 publications
18 citations

McMaster University
Hamilton, Canada
1 h-index
2 publications
20 citations

University of Surrey
Guildford, United Kingdom
1 h-index
1 publications
21 citations
1–8 of 19
2 publications · 61 citations
2
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2 publications · 53 citations
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1 publications · 20 citations
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TMCCI · 1 publications · 91 citations
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1 publications · 18 citations
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