The study of noise immunity for interpolation method of nonlinear dynamical systems identification based on Volterra model in frequency domain

Abstract

The noise immunity of the interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied in this paper. The polyharmonic signals are used as the test ones. The algorithmic and software toolkit in Matlab is developed for identification processes. This toolkit is used for constructing the informational model of test system. The model is built as a first, second and third order amplitude–frequency and phase–frequency characteristics. The wavelets are studied and used to reduce the noise impact on final characteristics of the test object.