Data-Driven Controller Tuning: FRIT approach

In this tutorial paper, we give a basic concept of FRIT (fictitious reference iterative tuning) as one of the data-driven controller tuning methods. We explain how FRIT can achieve a desired property with only one-shot experiment. In addition, some new results on this tuning method are also presented. We also give comparisons between FRIT and the other data-driven controller tuning methods which yield the desired parameter with only one-shot experiment. Finally, as one of the applications of FRIT, we introduce the data-driven approach to simultaneous attainment of model and controller in the IMC architecture.