Selection of perturbation experiments for model discrimination
Ivayla Vatcheva, Hidde de Jong, Nicolaas Jacobus Ignatius Mars · University of Twente Research Information · 2000
In many situations a system is described by several competing models. In order to distinguish among the proposed models, further information about the behavior of the system is required. One way to obtain such information is to perform suitably chosen perturbation experiments. This paper introduces a method for the selection of optimal perturbation experiments for discrimination among a set of competing dynamical models. The models are assumed to have the form of semi-quantitative di#erential equations. The method employs an optimization criterion based on the entropy measure of information. Introduction Scientists and engineers are frequently faced with situations in which a given system can be described by several competing models. The predictions of the models match available observations about the system behavior obtained in one or more experiments. When analyzing the synthesis rate of a product in a catalized chemical reaction as a function of the partial pressures of...