State-feedback Models
State-Feedback Models is a dynamic modeling framework within adaptive management that uses real-time system state observations to iteratively update management actions, distinguishing itself from other models by its explicit reliance on feedback control principles to reduce uncertainty and improve decision-making over time.
125
Publications
9.2K
Citations
281
Authors
161
Institutions
Publications per year
2017–2026
25
Parents
125
A state-feedback approach to event-based control
Jan Lunze, Daniel Lehmann · Automatica · 2009 · 1K citations
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161
University of Michigan
Ann Arbor, United States
5 h-index
9 publications
384 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
214 citations

Harbin Institute of Technology
Harbin, China
3 h-index
5 publications
477 citations

University of Minnesota
Minneapolis, United States
3 h-index
4 publications
236 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
156 citations

University of Groningen
Groningen, The Netherlands
3 h-index
5 publications
166 citations
University of Florida
Gainesville, United States
3 h-index
5 publications
82 citations
Dynamic Systems (United States)
Austin, United States
3 h-index
4 publications
152 citations
1–8 of 161
21 publications · 3.6K citations
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7 publications · 1.4K citations
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4 publications · 110 citations
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4 publications · 204 citations
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3 publications · 74 citations
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