Outliers usually occur during industrial data collection process and can lead to poor system
identification performance. This paper considers the parameter estimation probelm for …

This paper mainly studies the parameter identification problem of multiple-input and single-
output Hammerstein controlled autoregressive moving average (MISO-HCARMA) system in …

Most of the existing estimation methods for nonlinear systems have been developed by
using non-self-error data (eg, prediction error and observation error, etc.), potentially …

The paper considers the problem of nonparametric estimation of nonlinear characteristic in
the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of …

This paper is concerned with parameter estimation of Wiener systems with measurement
noises employing correlation analysis method and adaptive Kalman filter. The presented …

This article explores recursive algorithms for parameter identification issues of Hammerstein
output‐error systems. The proposed approach includes the key term separation auxiliary …

Presently, the problem of parameter estimation of motors used in electrical vehicles is
discussed. To make the control more efficient, a model of the electrical motor is developed …

A three‐stage estimation approach of the Hammerstein‐Wiener model with colored noise
using hybrid signals is considered in this article. The Hammerstein‐Wiener model where a …

In this article, an identification scheme for the Hammerstein-Wiener nonlinear time delay
systems with process noises is proposed, which is derived by exploiting special signals and …

In this paper, a new identification method is developed for Wiener–Hammerstein systems
that contain memory nonlinearity of backlash type. The latter is flanked by two linear transfer …