Analysis of Application Effectiveness of Asynchronous Variation in the Identification of Dynamic Objects Parameters

The article considers one of the tasks of dynamic measurements – parametric identification. The relevance of the problem of increasing the accuracy of unknown parameters estimation in dynamic systems is justified and one of the most general approaches to its solution is proposed, which consists in using parametric identification methods. It is shown that a promising direction for the effective solution of this problem is the use of variational principles and regularization theory. The results of numerical modeling are presented, which demonstrate the advantages of the developed identification algorithm over the traditional Kalman type algorithm, and work is also carried out to determine the boundaries of effective practical application of the variational parameter identification method in the conditions of observation interference.