Structural identifiability for a class of non-linear compartmental systems using linear/non-linear splitting and symbolic computation.
Under certain controllability and observability restrictions, two different parameterisations for a non-linear compartmental model can only have the same input-output behaviour if they differ by a locally diffeomorphic change of basis for the state space. With further restrictions, it is possible to gain valuable information with respect to identifiability via a linear analysis. Examples are presented where non-linear identifiability analyses are substantially simplified by means of an initial linear analysis. For complex models, with four or more compartments, this linear analysis can prove lengthy to perform by hand and so symbolic computation has been employed to aid this procedure.
Chapman
Michael J
MJ
School of MIS-Maths, Coventry University, CV1 5FB, Coventry, UK. m.chapman@coventry.ac.uk
Godfrey
Keith R
KR
Chappell
Michael J
MJ
Evans
Neil D
ND
D000465:Algorithms; D001825:Body Fluid Compartments; D016014:Linear Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D010599:Pharmacokinetics; D012984:Software