scholarly journals A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical Systems Identification

2016 ◽  
Vol 9 (2) ◽  
pp. 70-77 ◽  
Author(s):  
Imam SUTRISNO ◽  
Mohammad ABU JAMI’IN ◽  
Jinglu HU ◽  
Mohammad HAMIRUCE MARHABAN
Keyword(s):  
Dynamical Systems ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical ◽  
Systems Identification ◽  
Self Organizing

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

2014 ◽  
pp. 34-41
Author(s):  
Vitaliy Pavlenko ◽  
Sergei Pavlenko ◽  
Viktor Speranskyy
Keyword(s):  
Dynamical Systems ◽  
Frequency Domain ◽  
Noise Immunity ◽  
Nonlinear Dynamical Systems ◽  
Interpolation Method ◽  
Test System ◽  
Volterra Model ◽  
Third Order ◽  
Nonlinear Dynamical ◽  
Systems Identification

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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