A new identification approach for a nonlinear system with hysteresis, namely a cascading
Bouc–Wen hysteresis model with linear dynamics, is proposed in this study. The properties …

A new Hopfield neural Network (HNN) identification method is proposed for hysteresis
nonlinear systems to estimate the coefficients of the systems. Firstly, a Bouc-Wen model is …

Recent work on black-box polynomial nonlinear state-space modeling for hysteresis
identification has provided promising results, but struggles with a large number of …

Hysteresis is a nonlinear effect that shows up in a wide variety of engineering and scientific
fields. The identification of hysteretic systems from input-output data is an important but …

Most studies tackling hysteresis identification in the technical literature follow white-box
approaches, ie they rely on the assumption that measured data obey a specific hysteretic …

In this paper, various identification methods based on least-squares technique to estimate
the unknown parameters of structural systems with HYSTERESIS are investigated. The Bouc …

This paper deals with the parametric identification of the Bouc–Wen model for smooth
hysteresis. The interest of the problem stems from the fact that the Bouc–Wen model has …

Hysteresis is a phenomenology commonly encountered in very diverse engineering and
science disciplines, ranging from solid mechanics, electromagnetism and aerodynamics [1 …

Identification of nonlinear hysteretic systems has practical significance for the prediction of
structural response. This paper develops a novel parameter identification method for …

Hysteresis phenomena are commonly encountered in structural systems. To describe
hysteresis behaviors, the Bouc-Wen model is intensively leveraged to reconstruct hysteresis …