Reference model selection for a model-matching data-driven control design

Model matching is a useful method for control design. This method has been also studied in the data-driven control design that gives a controller directly from plant response data. Main difficulty of this method lies in the selection of an appropriate reference model. In this paper, we propose a method of making an appropriate reference model based on the design result of our data-driven loop shaping design method.