Journal ArticleDOI
An iterative method for the identification of nonlinear systems using a Hammerstein model
Kumpati S. Narendra,P. Gallman +1 more
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TLDR
In this article, an iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise, which consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system.Abstract:
An iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise. The model used for the identification consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system. The parameters of the pulse transfer function of the linear system and the coefficients of the polynomial non-linearity are alternately adjusted to minimize a mean square error criterion. Digital computer simulations are included to demonstrate the feasibility of the technique.read more
Citations
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Journal ArticleDOI
Identification of MIMO Hammerstein models using Singular Value Decomposition approach
Badreddine Louhichi,Ahmed Toumi +1 more
TL;DR: A new approach to identify multivariable Hammerstein systems based on the Singular Value Decomposition (SVD) method is presented, which allows for the determination of the memoryless static nonlinearity as well as the estimation of the model parameters of the dynamic Auto-Regressive model with eXogenous input (ARX) part.
Proceedings ArticleDOI
Identification of Wiener Models with Binary-Valued Output Observations
TL;DR: This work focuses on system identification for Wiener models, whose outputs are measured by binary sensors, and begins with the development of joint identifiability.
Dissertation
Study on complexity reduction of digital predistortion for power amplifier linearization
TL;DR: Doherty et al. as discussed by the authors propose a pre-distorsion numerique adaptative in bande de base to linearise the amplificateurs de haute puissance.
References
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Journal ArticleDOI
A technique for the identification of linear systems
Kenneth Steiglitz,L. McBride +1 more
TL;DR: In this paper, an iterative technique is proposed to identify a linear system from samples of its input and output in the presence of noise by minimizing the mean-square error between system and model outputs.
Journal ArticleDOI
On the Identification Problem
TL;DR: In this paper, the identification of zero-memory multipoles and two-poles of class n_1 was studied, where the test signals are sine waves of different amplitudes and frequencies, and the measured quanity is the describing function of the device.