Cited by 37Control Systems and IdentificationStatistical and numerical algorithmsControl and Stability of Dynamical Systems

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Structural identifiability analysis via symmetries of differential equations

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Crossref · 10.1016/j.automatica.2009.07.009

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  • Relatively few techniques are available for structural identifiability analysis of nonlinear systems, and significant symbolic computational problems can arise even for relatively simple models.

    “In comparison, there are relatively few techniques available for nonlinear systems, and significant (symbolic) computational problems can arise, even for relatively simple models.49, 50, 51”

    From Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network (2019) · cites this paper as [51]

    The Introduction (p. 2) says that calculating the basis needed for a nonlinear identifiability method can be computationally difficult even with symbolic software. The Conclusions and Discussion (p. 11) likewise say that other approaches can become computationally intractable. Our copy does not establish that relatively few techniques are available for nonlinear systems or that these problems arise even for relatively simple models. (LLM, conf=0.83)

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References 15 · Cited by 37

Metadata

Authors
Yates, J. W. T., Evans, N. D., & Chappell, M. J.
Affiliations
  • AstraZeneca (United Kingdom) (GB)
  • University of Warwick (GB)
Corresponding author
Yates, James W.T.
Venue
Automatica
Publisher
Elsevier BV
Published
2009-11
Volume
45
Issue
11
Pages
2585-2591
ISSN
0005-1098 (ISSN-L)
OpenAlex
W2092492826
Cited by
37
References
15
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 1 · 2013: 1 · 2012: 3
FWCI
3.71
Type
journal article
Language
en
Open access
closed
Locations
  • Automatica (publishedVersion)
  • Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/E057535/1)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
  • Physical Sciences › Engineering › Control and Systems Engineering › Control and Stability of Dynamical Systems
Keywords
structural identifiability, Lie symmetries, Lie algebras, systems of differential equations, similarity transformation, nonlinear state-space models, model structure, parameter identifiability

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