Solving the problem of structural stochastic identification of nonlinear discrete dynamic multistructural objects
Павел Александрович Кучеренко, С. В. Соколов, S. M. Kovalev · Automatic Control and Computer Sciences · 2013
Methods of structural stochastic identification of nonlinear discrete dynamic objects are shown to be a topical subject of study. The general structure of an identification algorithm leveraging nonlinear filtering algorithms is proposed. Synthesis of the structural identification algorithm that uses the criterion of the minimum of the autocorrelation residual function is considered. A numerical example that shows the proposed approach is efficient is considered.