D-OPTIMAL EXPERIMENT DESIGN FOR STATIC NON LINEAR SYSTEMS DESCRIBED BY 2-D POLYNOMIAL MODELS

摘要

In this paper the problem of optimal experiment design for the identification of non linear static system described by 2-D polynomial models is of concern. The optimal sampling schedule minimizing the volume of the uncertainty of the estimated parameters has been analytically derived when the available measurements are corrupted by an error that is described both in statistical and set membership terms. General conditions about the choice of the sampling points making the model identifiable have been found.