Abstract
In this paper, we propose a data-driven approach to controller update in the generalized internal model control (GIMC) architecture, which was proposed by K. Zhou. Particularly, we focus on the update of the free parameter in this structure to maintain the performance of the controller. The update method we apply here is the fictitious reference iterative tuning (FRIT), which enables to obtain the desirable parameter with only using one-shot experiment. We also show the cost function used in the FRIT is related to the enhancement of the controller performance. To show the validity of the proposed method, we give an illustrative example.
