Global identifiability of the parameters of nonlinear systems with specified inputs: a comparison of methods.

Abstract:

:The two methods available for analyzing the global structural identifiability of the parameters of a nonlinear system with a specified input function, the Taylor series approach and the similarity transformation approach, are compared and contrasted through application to three examples. It is shown that, as for linear systems, it is very difficult to predict which of the available methods will result in the least effort for a particular example. The role of modern symbolic manipulation packages in the analysis is assessed. The third example proves intractable using the similarity transformation approach as originally formulated, but the analysis is completed using a reformulation that exploits the polynominal form of the system equations in the example.

journal_name

Math Biosci

journal_title

Mathematical biosciences

authors

Chappell MJ,Godfrey KR,Vajda S

doi

10.1016/0025-5564(90)90055-4

subject

Has Abstract

pub_date

1990-11-01 00:00:00

pages

41-73

issue

1

eissn

0025-5564

issn

1879-3134

pii

0025-5564(90)90055-4

journal_volume

102

pub_type

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