Hysteresis is a ubiquitous phenomenon describing the special nonlinear memory-based
relation between the input and the output in many physical systems. Identifying the hysteretic …

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

Hysteresis is a natural phenomenon that widely exists in structural and mechanical systems.
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …

The experimental dynamical response of three types of nonlinear hysteretic systems is
identified employing phenomenological models togheter with the Differential Evolutionary …

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 …

Identifying the local nonlinear hysteretic behaviors in structures arises as an important issue
in structural health monitoring. This paper develops a new hysteresis identification …

Hysteretic models are used to describe the nonlinear memory-based relationship between
the input and output of some physical systems. A long short-term memory neural network …

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 …

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 highly nonlinear phenomenon, which is observed in different branches of
sciences. The behavior of the hysteretic systems is usually controlled by some …