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Название: Interpolation method of nonlinear dynamical systems identification based on volterra model in frequency domain
Авторы: Pavlenko, Vitaliy
Pavlenko, Sergei
Speranskyy, Viktor
Ключевые слова: Frequency control
Nonlinear dynamical systems
Mathematical model
Object recognition
Kernel
Harmonic analysis
Interpolation
communication channels
identification
Volterra models
multifrequency characteristics
polyharmonic signals
Дата публикации: 2013
Издательство: Institute of Electrical & Electronics Engineers (IEEE)
Библиографическое описание: Pavlenko, V. Interpolation method of nonlinear dynamical systems identification based on volterra model in frequency domain / V. Pavlenko, S. Pavlenko, V. Speranskyy // Technology and Applications: proceedings of the 7 th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 12-14 September 2013, Berlin, Germany. - 2013. - Vol. 01. - P. 173-178.
Pavlenko, V., Pavlenko S., , Speranskyy, V. (2013). SperanskyyInterpolation method of nonlinear dynamical systems identification based on volterra model in frequency domain. Technology and Applications: proceedings of the 7 th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 12-14 September 2013, Berlin, Germany, 01, 173-178.
Краткий осмотр (реферат): The accuracy of the interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied in this paper. To extract the n-th partial component in the response of the system to the test signal the n-th partial derivative of the response using the test signal amplitude is found and its value is taken at zero. 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 comparison of obtained characteristics with previous works is given.
URI (Унифицированный идентификатор ресурса): DOI: 10.1109/idaacs.2013.6662664
http://ieeexplore.ieee.org/document/6662664/
http://dspace.opu.ua/jspui/handle/123456789/6238
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