A method of design of statistically optimal discrete systems of correction of trajectories of nonlinear dynamic systems

The paper is concerned with design of optimal discrete correction systems in the statistical statement. The path is corrected when the argument reached the specified values. It is assumed that the values of control functions are characterized by constant control parameters and the disturbances, by random parameters. The statistical design is performed in the framework of the correlation theory. The system parameters are selected in order to minimize the r.m.s. error.