Virtual Reference Feedback Tuning (VRFT) is a method to design controllers based on empirical data. A reference model is assigned by the user and the method automatically designs the best possible controller according to a 2-norm metric within the considered controller class. This is obtained by recasting the original non-convex controller design as a convex design amenable of implementation by means of a set of input-output measurements obtained from the plant. In this talk, I shall present the foundations of VRFT and shall illustrate it through application studies.
