Abstract
Since Virtual Reference Feedback Tuning (VRFT) has been proposed, several methods for data-driven model matching problem with one-shot preliminary experiment have been proposed. These methods are derived from different idea, and discussed separately. This paper shows that some of these methods can be converted to each other by a suitable shaping filter, and propose categories to classify them. This abstraction makes us possible to discuss the required condition on data, and also gives us alternative approach to the data-driven model matching problem.
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