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Learning a controller for a coupled drives apparatus using VRFT strategy

Frantisek Gazdos, Petr Dostal
The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of controller design and fine-tuning. It uses a series of experiments with no restriction on data generation to design an optimal controller of desired structure without the intermediate plant identification step. The approach is shown to be successful for the design and fine-tuning of a controller for a coupled drives system by means of adjusting a desired settling-time of a controlled variable.
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