Structural and Parametric Identification of Mathematical Models of Control Objects Based on the Principle of Rational Complication

Abstract

The multi-step process of structural-parametric identification of mathematical models of control objects according to the principle of rational complication is considered. Identification specifies the mathematical model of the object and methods of its identification in the process of accumulation of a posteriori information. The quality of multi-step structural and parametric identification of an object depends on the amount of a priori information that grows after conducting experimental studies. For a qualitative solution to the problem, it is necessary to rationally complicate identification methods after analyzing the results of the previous identification step. Examples of application of the proposed principle of rational complication are given, which show its advantages in comparison with classical methods.