MULTICRITERIAL IDENTIFICATION OF DIFFERENTIAL MODELS
The article deals with differential models describing various phenomena: economic, social, chemical, etc. The problems associated with the structural and parametric identification of such models are described. The formulation of the problem of parametric identification of models as multicriteria is proposed. A number of processes make it possible to obtain experimental data in several series of initial conditions. Each measure of the discrepancy between the calculated values and the experimental values will be a separate criterion for the problem. To build the Pareto front, the genetic algorithm moGA was used. In addition, a practically significant problem of finding the parameters of the kinetics model of the reaction of N-substituted adamantyl-containing imidoyl chlorides with phenol in a nonpolar solvent was considered. The results obtained correspond to the results of the kinetic experiment, the relative discrepancy between the experimental and calculated values is 4 %. The model of the reaction kinetics proposed on the basis of these results allows one to model the reaction process under various initial conditions.