Numerical Identifiability
Numerical Identifiability is the property of a mathematical model whereby unique parameter values can be consistently estimated from observed data under numerical computation, distinguishing it from structural identifiability by accounting for practical limitations such as parameter sensitivity, numerical precision, and optimization convergence.
158
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10.6K
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377
Authors
227
Institutions
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2017–2026
40
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158
Rank-Sparsity Incoherence for Matrix Decomposition
SIAM Journal on Optimization · 2011 · 670 citations · Full text
On global identifiability for arbitrary model parametrizations
Lennart Ljung, Torkel Glad · Automatica · 1994 · 639 citations
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227

University of Padua
Padua, Italy
8 h-index
16 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
313 citations

University of Minnesota
Minneapolis, United States
6 h-index
9 publications
1.1K citations

University of Warwick
Coventry, United Kingdom
4 h-index
7 publications
182 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
244 citations
Université de Technologie de Compiègne
Compiègne, France
4 h-index
8 publications
201 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
291 citations
University of Southern California
Los Angeles, United States
3 h-index
3 publications
126 citations
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9 publications · 941 citations
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7 publications · 818 citations
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6 publications · 122 citations
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5 publications · 703 citations
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