Adaptive simulation of hysteresis using neuro-Madelung model
Hysteretic phenomena have been observed in different branches of engineering sciences.
Although each of them has its own characteristics, Madelung's rules are common among …
Although each of them has its own characteristics, Madelung's rules are common among …
Hysteresis simulation using least-squares support vector machine
M Farrokh - Journal of Engineering Mechanics, 2018 - ascelibrary.org
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 …
sciences. The behavior of the hysteretic systems is usually controlled by some …
Hysteresis identification using extended preisach neural network
Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore several models have been proposed for hysteresis …
engineering sciences. Therefore several models have been proposed for hysteresis …
Adaptive modeling of highly nonlinear hysteresis using preisach neural networks
M Farrokh, A Joghataie - Journal of Engineering Mechanics, 2014 - ascelibrary.org
In this paper, a new type of multilayer feedforward neural network has been proposed based
on inspiration from the Preisach model, which has been called the Preisach neural network …
on inspiration from the Preisach model, which has been called the Preisach neural network …
Universal hysteresis identification using extended Preisach neural network
Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore, several models have been proposed for hysteresis …
engineering sciences. Therefore, several models have been proposed for hysteresis …
Modeling hysteresis using hybrid method of continuous transformation and neural networks
Z Tong, Y Tan, X Zeng - Sensors and Actuators A: Physical, 2005 - Elsevier
A novel and simple approach to modeling hysteresis nonlinearities is proposed. The
continuous transformation technique is used to construct an elementary hysteresis model …
continuous transformation technique is used to construct an elementary hysteresis model …
A new neural network‐based model for hysteretic behavior of materials
GJ Yun, J Ghaboussi… - International Journal for …, 2008 - Wiley Online Library
Cyclic behavior of materials is complex and difficult to model. A combination of hardening
rules in classical plasticity is one possibility for modeling this complex material behavior …
rules in classical plasticity is one possibility for modeling this complex material behavior …
Improved EHM-based NN hysteresis model
L Ma, Y Tan, Y Chu - Sensors and Actuators A: Physical, 2008 - Elsevier
An improved EHM-based hysteresis model is proposed in this paper. In this scheme, neural
networks are employed to implement the mapping between the input and output of …
networks are employed to implement the mapping between the input and output of …
An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis
L Ni, J Chen, G Chen, D Zhao, G Wang… - … Applications of Artificial …, 2024 - Elsevier
The inherent nonlinear and memory-dependent input-output characteristics of piezoelectric
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …
[HTML][HTML] From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems
Hysteresis is a natural phenomenon that widely exists in structural and mechanical systems.
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …