IdentifiabilityAnalysis is a Mathematica application that provides highly efficient functions for performing identifiability and observability analysis of large dynamic models.
Structural identifiability of a parametrized dynamic model is an important prerequisite for any parameter estimation procedure to return a sensible result. This property refers to the idealized situation that given perfect knowledge about the system’s inputs and outputs the parameters can be uniquely determined.
The method and its relations to other approaches are described in the publications
The application package can be obtained by sending a request to identifiabilityanalysis@fcc.chalmers.se.