Parametrization of models of controlled systems

The paper describes application of orthogonal series method for construction of controlled systems models under non-parametric uncertainty. A key element of the method is draw of orthogonal expansion length based on observations, in other words, defining parametric structure of the model. The method is demonstrated for estimation of distribution density and regression function. Directions for generalizing onto multi-dimensional case are also presented.