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Identification of time-varying Hammerstein systems
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002We consider the identification of systems which are both time-varying and nonlinear. This class of systems is more likely to be encountered in practice, but is often avoided due to the difficulties that arise in modelling and estimation. We attempt to address this problem by considering a new time-varying nonlinear model, the time-varying Hammerstein ...
Jonathon C. Ralston, Abdelhak M. Zoubir
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Comments on “Identification of Hammerstein nonlinear ARMAX systems”
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen-Xiao Zhao, Haitao Fang
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Nuclear norm regularization for overparametrized Hammerstein systems
49th IEEE Conference on Decision and Control (CDC), 2010In this paper we study the overparametrization scheme for Hammerstein systems [1] in the presence of regularization. The quality of the convex approximation is analysed, that is obtained by relaxing the implicit rank one constraint. To obtain an improved convex relaxation we propose the use of nuclear norms [2], instead of using ridge regression.
Falck, Tillmann +3 more
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Recursive Identification for Hammerstein System with ARX Subsystem
2006 Chinese Control Conference, 2006Identification is considered for the Hammerstein system consisting of a static nonlinear block f(·) followed by an ARX subsystem, when the system output is observed with noise. No assumption is made on the structure of f(·). Recursive estimates are given for coefficients of the ARX subsystem and for the value of f(u) at any u.
Wen-Xiao Zhao, Han-Fu Chen
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Nonparametric Testing for Hammerstein Systems
IEEE Transactions on Automatic Control, 2022Miroslaw Pawlak, Jiaqing Lv
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Identification of Hammerstein Nonlinear Stochastic Systems
Automation and Remote Control, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Blind maximum likelihood identification of Hammerstein systems
Automatica, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vanbeylen, Laurent +2 more
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Continuous-time Hammerstein system identification
IEEE Transactions on Automatic Control, 2000The 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, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Philippe Crama +2 more
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Multistage identification of Wiener-Hammerstein system
2017In 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 +3 more
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