This paper is about the identification of discrete-time Hammerstein systems from output
measurements only (blind identification). Assuming that the unobserved input is white …

This paper is about the identification of discrete-time Wiener systems from output
measurements only (blind identification). Assuming that the unobserved input is white …

The deterministic identification of Hammerstein systems is investigated in this paper. Based
on the over-sampling technique, a new deterministic identification approach is presented …

The nonlinear subsystem of a Hammerstein system is identified, ie, its characteristic is
recovered from input output ohservations of the whole system. The input and disturbance …

The extended least squares algorithm is applied to identify the Hammerstein system, where
the nonlinear static function f (·) is expressed as a linear combination of basic functions with …

This paper is a continuing study of the blind approach for the Hammerstein identification in
Sun et al.(1999) and Bai and Fu (2002). In the framework of a closed-loop sampled-data …

The Two-Stage Algorithm (TSA) has been extensively used and adapted for the
identification of Hammerstein systems. It is essentially based on a particular formulation of …

Hammerstein systems are the series composition of a static nonlinear function and a linear
dynamic system. In this work, we propose a nonparametric method for the identification of …

In this paper, we propose a blind approach to the sampled Hammerstein–Wiener model
identification. By using the blind approach, it is shown that all internal variables can be …

This paper presents a new method for the identification of Hammerstein systems. The
parameter estimation problem is formulated as a rank minimization problem by constraining …