Simultaneous attainment of model and controller for linear time delay systems with the data driven Smith compensator

Abstract In this paper, we propose a data-driven approach to the Smith compensator for the simultaneous attainment of a controller and a mathematical model of linear time-delay SISO systems. Under the situation in which we do not know a mathematical model of a plant, the proposed method here enables us to obtain the optimal Smith compensator for the desired tracking property based on the direct utilization of a one-shot closed loop experimental data. In addition, by introducing the special structure to the feedback controller used in the Smith compensator, it is possible to obtain not only the desired controller but also the mathematical model of a plant with a time-delay. Finally, we also give an experimental result in order to show the validity of the proposed method.

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