Results 21 to 30 of about 519,710 (307)
Identification of nonlinear anelastic models
Journal of Physics: Conference Series, 2008 A useful nonlinear identification technique applied to the anelastic and rheologic models is presented in this paper. First introduced by Feldman, the method is based on the Hilbert transform, and is currently used for identification of the nonlinear vibrations.
G E Draganescu, A Ercuta, L Bereteu
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The NARX Model-Based System Identification on Nonlinear, Rotor-Bearing Systems
Applied Sciences, 2017 In practice, it is usually difficult to obtain the physical model of nonlinear, rotor-bearing systems due to uncertain nonlinearities. In order to solve this issue to conduct the analysis and design of nonlinear, rotor-bearing systems, in this study, a ...
Ying Ma +4 more
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Alexandria Engineering Journal, 2020 Nonlinear identification of a narrow cantilever blade undergoing free vibration was studied. In the absence of forced excitation and because of general data deficiency of this system, the current identification methods cannot be applied with sufficient ...
Ibrahim Mahariq +4 more
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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
Measurement + Control, 2023 This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
Atmosphere, 2023 Based on the basic nonlinear parameter system of the solid oxide electrolysis cell, the data-driven method was used for system identification. The basic model of the solid oxide electrolysis cell was accomplished in Simulink and experiments were ...
Dehao Hou +7 more
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On the interpretation and identification of dynamic Takagi-Sugenofuzzy models [PDF]
, 2000 Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization ...
Johansen, T.A. +2 more
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Hysteresis Identification Using Nonlinear State-Space Models [PDF]
, 2016 Most studies tackling hysteresis identification in the technical literature follow white-box approaches, i.e. they rely on the assumption that measured data obey a specific hysteretic model. Such an assumption may be a hard requirement to handle in real applications, since hysteresis is a highly individualistic nonlinear behaviour.
Noël, Jean-Philippe +3 more
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, 2018 Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal operation, and a hard saturation effect for high peaks of the input signal.
Dreesen, Philippe +4 more
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System identification of nonlinear state-space models
Automatica, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schön, Thomas B. +2 more
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A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems
SensorsDigital predistortion and nonlinear behavioral modeling of power amplifiers (PA) have been the subject of intensive research in the time domain (TD), in contrast with the limited number of works conducted in the frequency domain (FD).
Carlos Crespo-Cadenas +4 more
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