Results 301 to 310 of about 16,686,076 (335)

Identification of a nonlinear driver model via NARMAX modeling

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
Most existing driver steering models consist of a linear function and a time delay element. Driving simulator data, however, indicates the possible existence of "complacency" nonlinearity. Three possible nonlinear structures are investigated to model this effect. The effectiveness of each structure in reducing the model uncertainty is evaluated.
Liang-Kuang Chen, A. Galip Ulsoy
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Testing for weak identification in possibly nonlinear models

Journal of Econometrics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inoue, Atsushi, Rossi, Barbara
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An Heuristic Approach to a Ship Nonlinear Model Identification

2014 European Modelling Symposium, 2014
In this paper an identification method based on Genetic Algorithms is proposed as an heuristic approach to the ship model identification. The physical model of the motion of 6 DOF (degrees of freedom) floating object is derived. The ship motion equations are then formulated as first order ordinary differential equation system.
Martyna Ulinowicz, Mariusz Andrzejczak
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Identification of a nonlinear model for a glucoregulatory benchmark problem

Biomedical Signal Processing and Control, 2014
Abstract Recently, a novel identification method for a nonlinear dynamic model, called nonlinear Linear Fractional Representation (NL-LFR) model, has been developed. The model, composed of a static nonlinearity (SNL) surrounded by linear dynamics, can account for both nonlinear feed-forward and nonlinear feed-back effects.
Vanbeylen, Laurent, Van Mulders, Anne, Abu-Rmileh, Amjad   +2 more
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Identification of Hammerstein Models With Cubic Spline Nonlinearities

IEEE Transactions on Biomedical Engineering, 2004
This paper considers the use of cubic splines, instead of polynomials, to represent the static nonlinearities in block structured models. It introduces a system identification algorithm for the Hammerstein structure, a static nonlinearity followed by a linear filter, where cubic splines represent the static nonlinearity and the linear dynamics are ...
Erika J. Dempsey, David T. Westwick
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Identification of a Block-Structured Model with Localised Nonlinearity

IFAC Proceedings Volumes, 2012
Abstract This paper considers the identification of a rather general nonlinear time-invariant system, consisting of a Multiple-Input Multiple-Output (MIMO) linear dynamic part and one static nonlinear part. It is sometimes referred to as Linear Fractional Transformation (LFT) or Linear Fractional Representation (LFR).
Van Mulders, Anne, Vanbeylen, Laurent, Schoukens, Joannes   +2 more
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Nonlinear system identification: Finding structure in nonlinear black-box models

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
The use of black-box models is wide-spread in signal processing and system identification applications. However, often such models possess a large number of parameters, and obfuscate their inner workings, as there are nonlinear connections between all inputs and all outputs (and possibly internal states) of the model.
Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens   +3 more
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Identification of nonlinear systems using Polynomial Nonlinear State Space models

Automatica, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paduart, Johan, Lauwers, Lieve, Swevers, Jan, Smolders, K., Schoukens, Joannes, Pintelon, Rik   +5 more
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GLOBAL IDENTIFICATION IN NONLINEAR MODELS WITH MOMENT RESTRICTIONS

Econometric Theory, 2012
This paper derives sufficient conditions for global identification in nonlinear models characterized by a finite number of unconditional moment restrictions. The main contribution of this paper is to provide a set of assumptions that are alternative to those of Gale-Nikaidô-Fisher-Rothenberg, and which when satisfied guarantee that the moment ...
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Experimental Nonlinear Model Identification of a Highly Nonlinear Resonator

Journal of Vibration and Acoustics, 2018
In this work, two model identification methods are used to estimate the nonlinear large deformation behavior of a nonlinear resonator in the time and frequency domains. A doubly clamped beam with a slender geometry carrying a central intraspan mass when subject to a transverse excitation is used as the highly nonlinear resonator.
Yildirim, Tanju, Zhang, Jiawei, Sun, Shuaishuai, Alici, Gursel, Zhang, Shiwu, Li, Weihua   +5 more
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