A Synthesis of Linear Canonical Controllers Based on the Direct Use of the Experimental Data

In this paper, as one of the synthesis method of a linear canonical controller (this is a controller that satisfies the obtained data and a given specification simultaneously), we provide a new tuning method of such a controller. The tuning method we proposed in this requires only one-shot closed loop experimental data and yields all of the parameters of a linear controller so as to minimize the performance index by using the least squares optimization directly, i.e., without a mathematical model of a plant. We also give an illustrative example in order to show the validity of our method