The problem of estimating the state of objects with minimal a priori inform
ation is solved within the framework of the classical theory of regularizat
ion. By means of analytic solutions obtained for different models of motion
, it becomes possible to construct estimation algorithms that are stable in
the presence of different types of errors. Results of numerical modeling a
re presented.