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On global identifiability for arbitrary model parametrizations

Ljung, Lennart, Glad, Torkel·1994·Automatica

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Research works printed but not linked: 8

  1. Bellman, 1970, On structural identifiability, Math. Biosci., 7, 329, 10.1016/0025-5564(70)90132-X · DOI · Paper page
  2. Chapell, 1990, Global identifiability of non-linear systems with specified inputs: a comparison of methods, Math. Biosci., 102, 41, 10.1016/0025-5564(90)90055-4 · DOI
  3. Fliess, 1987, Quelques définitions de la théorie des systèmes à la lumière des corps différentials, C.R. Acad. Sci. Paris, I-304, 91
  4. Fliess, 1989, Automatique et corps differéntials, Forum Mathematicum, 1, 227, 10.1515/form.1989.1.227 · doi:10.1515/form.1989.1.227
  5. Glad, 1989, Nonlinear state space and input-output descriptions using differential polynomials, Vol. 122
  6. Kolchin, 1947, Extensions of differential fields, J. Am. Math. Soc., 53, 397
  7. Raksanyi, 1985, Identifiability and distinguishability testing via computer algebra, Math. Biosci., 77, 245, 10.1016/0025-5564(85)90100-2 · DOI
  8. Walter, 1990, Qualitative and quantitative experiment design for phenomenological models—a survey, Automatica, 26, 195, 10.1016/0005-1098(90)90116-Y · DOI · Paper page

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Metadata

Authors
Ljung, L., & Glad, T.
Venue
Automatica
Publisher
Elsevier BV
Published
1994-02
Volume
30
Issue
2
Pages
265-276
ISSN
0005-1098 (ISSN-L)
OpenAlex
W2072667966
Cited by
643
References
0
FWCI
17.09
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: On global identifiability for arbitrary model parametrizations. https://app.cochat.ai/papers/10.1016/0005-1098(94)90029-9
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Ljung, L., & Glad, T. (1994). On global identifiability for arbitrary model parametrizations. Automatica. https://doi.org/10.1016/0005-1098(94)90029-9

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.