Global identifiability of nonlinear models of biological systems

  title={Global identifiability of nonlinear models of biological systems},
  author={Stefania Audoly and Giuseppina Bellu and Leontina D'Angi{\`o} and Maria Pia Saccomani and Claudio Cobelli},
  journal={IEEE Transactions on Biomedical Engineering},
A prerequisite for well-posedness of parameter estimation of biological and physiological systems is a priori global identifiability, a property which concerns uniqueness of the solution for the unknown model parameters. Assessing a priori global identifiability is particularly difficult for nonlinear dynamic models. Various approaches have been proposed in the literature but no solution exists in the general case. Here, the authors present a new algorithm for testing global identifiability of… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 114 extracted citations

A Systematic Approach to Determining the Identifiability of Multistage Carcinogenesis Models.

Risk analysis : an official publication of the Society for Risk Analysis • 2017
View 9 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 25 references


M. P. Saccomani, S. Audoly, G. Bellu
D’Angio’, and C. Cobelli, “Global identifiability of nonlinear model parameters,” inProc. SYSID’97 11th IFAC Symp. System Identification , vol. 3 • 1997
View 4 Excerpts
Highly Influenced

Glad, “On global identifiability for arbitrary model parameterizations,

S.T.L. Ljung
Automatica, vol. 30, • 1994
View 10 Excerpts
Highly Influenced

Le problème de l’identifiabilité structurelle globale: étude théorique

F. Ollivier
méthodes effectives et bornes de complexité,” Thèse de Doctorat en Science, École Polytéchnique, Paris, France • 1990
View 6 Excerpts
Highly Influenced

Differential Algebra

J. F. Ritt
Providence, RI: Amer. Math. Soc. • 1950
View 5 Excerpts
Highly Influenced

Glad, “An algebraic approach to linear and nonlinear control,” in Essays on Control: Perspectives in the Theory and Its Applications

S.T.M. Fliess
View 3 Excerpts
Highly Influenced

and H

S. Vajda, K. Godfrey
Rabitz, “Similarity transformation approach to identifiability analysis of nonlinear compartmental models,” Math. Biosci. , vol. 93, pp. 217–248 • 1989
View 6 Excerpts
Highly Influenced

System identifiability based on the power series expansion of the solution,”Math

H. Pohjanpalo
Biosci. , • 1978
View 5 Excerpts
Highly Influenced

Compartmental Analysis in Biology and Medicine

J. Jacquez
Ann Arbor, MI: BioMedware • 1996
View 1 Excerpt

Similar Papers

Loading similar papers…