The Task of Structural Identification the Interval Models of Static Objects with Multiple Parameters

Abstract

In the paper formulated the static objects’ interval models’ structure identification problem as repeatedly searching of interval systems of nonlinear algebraic equations (ISNAE) solutions, in the optimization problem’s form with nonlinear goal function and nonlinear constraints. For the first time, a method of structure identification of static objects’ characteristics interval models by the analysis of interval data was substantiated and development. The method is based on the use of the artificial bee colony algorithm. The justification of the advantage of the proposed method in comparison with known ones based on genetic algorithms is given.