Universal searchless method for parametric optimization of predictive algorithms

In this paper we propose a new universal searchless method for tuning the parameters of linear controllers. We compare tuning parameters of the PIDD2 (proportional, integrative, derivative and double derivative) controller, which have been found by the proposed method, with the ones of the predictive PID controller. The results demonstrate the advantages of the proposed method. We also provide some recommendations for choosing the parameters of the method.