This paper is concerned with the blind identification of Volterra-Hammerstein systems. Two
identification scenarios are covered. The first scenario assumes that, although the input is …

This work introduces a new formulation of the Hammerstein-Wiener system for identification
purpose. Two methods to calculate the estimates are implemented: the overparametrization …

In this paper, we propose a novel algorithm for the identification of Hammerstein systems.
Adopting a Bayesian approach, we model the impulse response of the unknown linear …

This technical note presents a method for the identification of Hammerstein Output Error
(HOE) models corrupted by bounded noise. The method is based on an iterative scheme …

The note considers the identification of multi-input multi-output errors-in-variables
Hammerstein systems, in which both the input and output can be observed but with additive …

A continuous-time Hammerstein system, ie, a system consisting of a nonlinear memoryless
subsystem followed by a linear dynamic one, is identified. The system is driven and …

This paper develops and illustrates a new maximum-likelihood based method for the
identification of Hammerstein–Wiener model structures. A central aspect is that a very …

This paper investigates the identification problem of Hammerstein–Wiener errors-in-variable
systems where the measurement errors of the system input and output are either temporally …

In this paper we present a procedure for the evaluation of bounds on the parameters of
Hammerstein systems, from output measurements affected by bounded errors. The …

The main result of this paper is to show that the linear part can be made decoupled from the
nonlinear part in Hammerstein model identification. Therefore, identification of the linear part …