On Modeling for Robust Control

Abstract We propose a new approach to identification which is based on the assumption that an upper bound on the norm of the perturbation affecting the data is a priori known. As a consequence, an uncertain family of systems is obtained with norm bounded uncertainty. Under mild assumptions, this family contains the system which generated the data. The parametrization is suitable for applying robust control methods, both in the conventional and in the behavioral frameworks.