Structural identifiability: tools and applications

Abstract

The paper deals with the application of the identifiability criteria to mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential-algebraic tools is presented. The conditions of the global identifiability and the persistent excitation are formulated explicitly for a given set of sensors. It is accompanied with an iterative technique of the sensor set reduction. The software tools required are outlined and their complexity is discussed.