Abstract
Abstract 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.
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