Identification of complicated physical objects by means of the synthesis method of particular mathematical models

To identify complicated physical objects, a method for synthesis of particular mathematical models has been proposed. The method is based on the fact that a dependence of the goal function under study from different control parameters has a different complexity. A concrete example is given to clarify the basic idea of the method, and results are given for its experimental verification. Dependences computed on the basis of a finite mathematical model are in a good agreement with experimental data obtained. The error lays within a range of 5 per cent. The method proposed is simple to employ, and it can be used to describe high order planning matrices of complicated physical objects