Global identifiability of nonlinear models of biological systems
By S. Audoly, Giuseppina Bellu, L. D'Angiò, M. Saccomani, Claudio Cobelli. IEEE Transactions on Biomedical Engineering, 2001
348 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/af22280f0065260cf9691f2a16194821c18b9aee
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In Control and Systems Engineering
In Molecular Biology
Citations in the corpus
- On the observability and identifiability of nonlinear structural and mechanical systems (2015, methodology): “The work in [17] and [18] lead to the robust identifiability software package DAISY, which is described in [19].”
- Global Identifiability of Differential Models (2018, positive): “In our approach, the initial conditions in (1) form a part of the parameters, as in [1, 6, 7, 8, 13, 27, 29, 31, 47, 48, 50, 51, 52], among other works.”
- DAISY: A new software tool to test global identifiability of biological and physiological systems (2007, methodology): “We refer the reader to [2,11] where this algorithm is described in detail.”
- An Efficient Method for Structural Identifiability Analysis of Large Dynamic Systems (2012, background): “theoretical characterization of this subject, starting in Kalman [1961] for linear systems and in Hermann and Krener [1977] for the nonlinear case, and continuing until today, where Pohjanpalo [1978], Vajda et al.”