Research of adaptive algorithms of laguerre model parametrical identification at approximation of ore breaking process dynamics

Abstract

In the article, the questions of dynamic characteristics modeling of breaking process using the Laguerre orthonormal function device are considered. The model parameters were estimated by using of algorithms, which are controlled independently, based on the least square method (algorithm of the least mean squares, normalized algorithm of the least mean squares and recursive algorithm of the least squares). The modification of algorithms considering the structural features of Laguerre model is carried out. The comparative analysis of quality of the model output approximation to the studied object characteristics is conducted.