NOISE IMMUNITY RESEARCH FOR NONLINEAR DYNAMICAL SYSTEMS IDENTIFICATION BASED ON VOLTERRA MODEL IN FREQUENCY DOMAIN

Authors

  • Vitaliy Pavlenko
  • Sergei Pavlenko
  • Viktor Speranskyy

DOI:

https://doi.org/10.47839/ijc.13.1.619

Keywords:

identification, nonlinear dynamic systems, Volterra models, multifrequency characteristics, polyharmonic signals, wavelet denoising, communication channels.

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.

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Published

2014-08-01

How to Cite

Pavlenko, V., Pavlenko, S., & Speranskyy, V. (2014). NOISE IMMUNITY RESEARCH FOR NONLINEAR DYNAMICAL SYSTEMS IDENTIFICATION BASED ON VOLTERRA MODEL IN FREQUENCY DOMAIN. International Journal of Computing, 13(1), 34-41. https://doi.org/10.47839/ijc.13.1.619

Issue

2014, Volume 13, Issue 1

Section

Articles

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