Model Predictive Estimation
Model Predictive Estimation is a state estimation framework that belongs to the class of predictive filtering methods, distinguished by its use of a dynamic system model to iteratively predict future states and optimize estimation accuracy over a receding horizon based on observed measurements.
199
Publications
7.7K
Citations
714
Authors
399
Institutions
Publications per year
2017–2026
89
Parents
199
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399
Stanford University
Stanford, United States
5 h-index
10 publications
698 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
4 publications
292 citations
University of Connecticut
Storrs, United States
3 h-index
4 publications
173 citations

McGill University
Montreal, Canada
3 h-index
3 publications
133 citations

Incheon National University
Incheon, South Korea
2 h-index
2 publications
127 citations
Inserm
Paris, France
2 h-index
4 publications
494 citations

University of South Australia
Adelaide, Australia
2 h-index
3 publications
94 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
121 citations
1–8 of 399
4 publications · 186 citations
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Repository · 4 publications · 188 citations
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3 publications · 83 citations
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3 publications · 140 citations
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2 publications · 70 citations
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