Abstract
This study proposes a performance-driven control method that performs a “control performance assessment” and a “control system design” from a set of closed-loop data. The method evaluates control performance based on the minimum variance control index from closed-loop data. It also calculates control parameters that improve the control performance from the same closed-loop data by using the fictitious reference iterative tuning method. This method is characterized by not requiring any system model. The effectiveness of this method is verified through a numerical simulation.
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