Employing observability rank conditions for taking into account experimental information a priori

TL;DR

This paper explores how observability rank conditions, traditionally used for structural identifiability, can be extended to provide insights into practical identifiability and experimental design considerations.

Contribution

It introduces extensions of observability rank tests to incorporate experimental information, bridging the gap between structural and practical identifiability analysis.

Findings

Observability rank conditions can inform about practical identifiability.

Extensions of rank tests can incorporate experimental data characteristics.

Some extensions are informative, others are not for practical identifiability.

Abstract

The concept of identifiability describes the possibility of inferring the parameters of a dynamic model by observing its output. It is common and useful to distinguish between structural and practical identifiability. The former property is fully determined by the model equations, while the latter is also influenced by the characteristics of the available experimental data. Structural identifiability can be determined by means of symbolic computations, which may be performed before collecting experimental data, and are hence sometimes called a priori analyses. Practical identifiability is typically assessed numerically, with methods that require simulations - and often also optimization - and are applied a posteriori. An approach to study structural local identifiability is to consider it as a particular case of observability, which is the possibility of inferring the internal state of a system from its output. Thus, both properties can be analysed jointly, by building a generalized observability matrix and computing its rank. The aim of this paper is to investigate to which extent such observability-based methods can also inform about practical aspects related with the experimental setup, which are usually not approached in this way. To this end, we explore a number of possible extensions of the rank tests, and discuss the purposes for which they can be informative as well as others for which they cannot.