Results 151 to 160 of about 1,097 (184)

Blind maximum likelihood identification of Hammerstein systems

Automatica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vanbeylen, Laurent, Pintelon, Rik, Schoukens, Joannes   +2 more
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Continuous-time Hammerstein system identification

IEEE Transactions on Automatic Control, 2000
The paper deals with identification of a continuous-time Hammerstein system, consisting of a nonlinear static part followed by a linear dynamics. The system is driven by a stationary white random process and disturbed by additive stationary zero-mean white random noise. The a priori information about component subsystems is non-parametric.
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Generation of enhanced initial estimates for Hammerstein Systems

Automatica, 2004
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Philippe Crama, Johan Schoukens, Rik Pintelon   +2 more
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Multistage identification of Wiener-Hammerstein system

2017
In the paper a three-stage, semirecursive scheme for the Wiener-Hammerstein system identification is proposed. The algorithm combines both parametric and nonparametric strategies and allows to recover linear and nonlinear subsystems directly from the noisy inputoutput data.
Zygmunt Hasiewicz, Pawel Wachel, Grzegorz Mzyk, Bartlomiej Kozdras   +3 more
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Hammerstein Models for Identification of Stochastic Systems

Automation and Remote Control, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Identification of Hammerstein-Wiener Systems

IFAC Proceedings Volumes, 2012
Abstract This work introduces a new formulation of the Hammerstein-Wiener system for identification purpose. Two methods to calculate the estimates are implemented: the overparametrization approach, and the iterative approach. The good performance obtained by both methods is shown with a simulation example.
Schoukens, Maarten, Bai, Er-Wei, Rolain, Yves   +2 more
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Recursive Identification of Hammerstein Systems

IFAC Proceedings Volumes, 2011
Abstract A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant.
Fengmin Le, Ivan Markovsky, Christopher Freeman, Eric Rogers   +3 more
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Identification of MIMO Hammerstein systems with nonlinear feedback

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002
In this paper we present a general identification framework for a particular class of Multi-Input Multi-Output (MIMO) discrete time nonlinear dynamic systems containing the cascade of a linear dynamic system with static nonlinearities at both the input and feedback loop.
Dapeng Luo, Alexander Leonessa
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A fractional approach to identify Wiener–Hammerstein systems

Automatica, 2014
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Identification of nonlinear system composed of parallel coupling of Wiener and Hammerstein models

Asian Journal of Control, 2022
Adil Brouri, Laila Kadi
exaly