Self-adapting algorythms of stabilization and tracking in the systems of direction of dynamic objects with degree influences

The article researches self-adapting algorythm and structure of the system of automatic direction of dynamic objects, providing for stabilizing and tracking with degree initials and general zero statistic mistake revolting ( non-measurable) influences. The essence of the suggested approach consists in automatic scaling of initial influence in the process of eliminating the mistake which is proved by computer modeling of the analytical analysis.