Algorithm Selection for the Predictive Model in Control Systems with Incompletely Observable Control Coordinate

In this report we examine predictive control of the systems with incompletely observable control coordinate. The scientific and methodical approach to algorithm selection for the predictive model is represented. The article contains the analysis of prediction methods based on the static processing of object state data. We present research results concerning the precision of methods of algorithm specification based on interpolation polynomials and ordinary least squares approximation of data.