Remarks on validation of uncertainty models using frequency response data
Uncertainty validation using frequency response data has been studied by several authors. If the uncertainty is assumed to be stable, then the problem amounts to one of boundary interpolation. It is shown in this note that for more general uncertainty models, an additional constraint is needed in order for the results in  and  to be applicable. Boundary interpolation, together with the proposed constraint, gives a satisfactory answer to the validation problem for uncertainty models.
Publication Source (Journal or Book title)
IEEE Transactions on Automatic Control
Gu, G. (2002). Remarks on validation of uncertainty models using frequency response data. IEEE Transactions on Automatic Control, 47 (3), 486-490. https://doi.org/10.1109/9.989146