A survey on hysteresis modeling, identification and control

V Hassani, T Tjahjowidodo, TN Do - Mechanical systems and signal …, 2014 - Elsevier
The various mathematical models for hysteresis such as Preisach, Krasnosel'skii–Pokrovskii
(KP), Prandtl–Ishlinskii (PI), Maxwell-Slip, Bouc–Wen and Duhem are surveyed in terms of …

Piezo-actuated smart mechatronic systems: Nonlinear modeling, identification, and control

Z Yuan, S Zhou, Z Zhang, Z Xiao, C Hong… - … Systems and Signal …, 2024 - Elsevier
Precise actuation is a widely utilized technology in the realm of high-end equipment.
Piezoelectric actuators (PEAs) stand out due to their exceptional attributes, including high …

Approximate inversion of the Preisach hysteresis operator with application to control of smart actuators

RV Iyer, X Tan… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Hysteresis poses a challenge for control of smart actuators. A fundamental approach to
hysteresis control is inverse compensation. For practical implementation, it is desirable for …

Modeling and identification of elastic robot joints with hysteresis and backlash

M Ruderman, F Hoffmann… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
This paper presents a novel approach to the modeling and identification of elastic robot
joints with hysteresis and backlash. The model captures the dynamic behavior of a rigid …

Response of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitations: A path integral approach based on Laplace's method of …

A Di Matteo - Probabilistic Engineering Mechanics, 2023 - Elsevier
In this paper, an approximate analytical technique is developed for determining the non-
stationary response amplitude probability density function (PDF) of nonlinear/hysteretic …

Response and first-passage statistics of nonlinear oscillators via a numerical path integral approach

IA Kougioumtzoglou, PD Spanos - Journal of Engineering …, 2013 - ascelibrary.org
A numerical path integral solution approach is developed for determining the response and
first-passage probability density functions (PDFs) of nonlinear oscillators subject to …

A nonlinear state-space approach to hysteresis identification

JP Noël, AF Esfahani, G Kerschen… - Mechanical Systems and …, 2017 - Elsevier
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 …

Approximate survival probability determination of hysteretic systems with fractional derivative elements

A Di Matteo, PD Spanos, A Pirrotta - Probabilistic Engineering Mechanics, 2018 - Elsevier
A Galerkin scheme-based approach is developed for determining the survival probability
and first-passage probability of a randomly excited hysteretic systems endowed with …

Diagonal recurrent neural network-based hysteresis modeling

G Chen, G Chen, Y Lou - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
The Preisach model and the neural networks are two of the most popular strategies to model
hysteresis. In this article, we first mathematically prove that the rate-independent Preisach …

Alternating state-parameter identification of Bouc-Wen hysteretic systems from steady-state harmonic response

M Lin, B Sun, C Cheng, B Zhao, Z Peng… - Journal of Sound and …, 2022 - Elsevier
Describing hysteresis behaviors in mechanical engineering has attracted increasing
research interest. Among the numerous models that characterize hysteretic nonlinearities …