Abstract
The accuracy and 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 for the testing the method. The algorithmic and software toolkit in Matlab is developed for the identification procedure. This toolkit is used to construct the informational models of test system and communication channel. The model is built as a first-, second- and third-order amplitude–frequency and phase–frequency characteristics. The comparison of obtained characteristics with previous works is given. Wavelet denoising is studied and applied to reduce measurement noise.
Highlights
It is necessary to consider technical conditions of the communication channels (CC) operation for effective data transfer
The main purpose was the studying of the noise impact to the characteristics of the test object model using interpolation method in frequency domain
The method based on Volterra model using polyharmonic test signals for identification nonlinear dynamical systems is analyzed
Summary
It is necessary to consider technical conditions of the communication channels (CC) operation for effective data transfer. The new methods and supporting toolkit are developing to automate the measurement of parameters and taking into account the characteristics of the CC. This toolkit allows obtaining the informational and mathematical model of such nonlinear dynamic object, as the CC [1], i.e. to find the identification problem solution. The additional research of noise immunity to measurement noise for nonlinear dynamical systems identification method, based on the Volterra model in the frequency domain is proposed. The developed identification toolkit used to build information model of the test nonlinear dynamic object in the form of the first, second and third order model [14] where updated
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