Simultaneous Updating of a Model and a Controller Based on the Data-Driven Fictitious Controller

In this paper, we provide a data-driven approach for a simultaneous updating of a mathematical model of a plant and a controller with respect to a desired response of the closed loop. Our basic strategy is to adapt the fictitious controller, which has been proposed by the authors, described by the nominal model and the initial controller with the tunable parameter to the one-shot experimental data directly. As a result, such a controller yields both a plant model and a desired controller simultaneously. In order to give the validity of the proposed method, we also show an experimental result.