Results 281 to 290 of about 128,037 (313)
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Testing for weak identification in possibly nonlinear models
Journal of Econometrics, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inoue, Atsushi, Rossi, Barbara
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Identification of Hammerstein Models With Cubic Spline Nonlinearities
IEEE Transactions on Biomedical Engineering, 2004This 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 nonlinear model for a glucoregulatory benchmark problem
Biomedical Signal Processing and Control, 2014Abstract 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 +2 more
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Identification of a Block-Structured Model with Localised Nonlinearity
IFAC Proceedings Volumes, 2012Abstract 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 +2 more
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An Heuristic Approach to a Ship Nonlinear Model Identification
2014 European Modelling Symposium, 2014In 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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Nonlinear system identification: Finding structure in nonlinear black-box models
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017The 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 +3 more
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GLOBAL IDENTIFICATION IN NONLINEAR MODELS WITH MOMENT RESTRICTIONS
Econometric Theory, 2012This 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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Identification of nonlinear systems using Polynomial Nonlinear State Space models
Automatica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paduart, Johan +5 more
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On the Identification and Prediction of Nonlinear Models
1993We consider in a first part the problem of the identification of the order of a bilinear model. We investigate different methods based on the use of recurrence’s function on the higher order moments. We establish the recurrent relations on the third order moment for a general superdiagonal model BL(p, q, P, Q), and for this model we obtain the ...
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