Nonparametric estimation of conventional density in problem of statical object control

The problem of nonlinear static object control using stochastic models based on nonparametric estimation of conventional density distribution is considered. Input variables of an object providing a desirable output are found by optimizing of the conventional density estimation. Some approaches to the optimization problem solution and algorithm adjustment are discussed.