Notes on the Optimality of the Fictitious Reference Iterative Tuning

Abstract

In this note, we consider the optimality of Fictitious Reference Iterative Tuning (F RIT), which is one of the methods for tuning the parameter of a controller using only one-shot experimental data and without using mathematical models. We give a generalized condition for the prefilter which is performed to the initial data to yield the desired parameter. We then show that this genealized condition contains not only the previous work by the author but also the result in Virtual Reference Feedback Tuning (VRFT) as its special cases.