[HTML][HTML] Review of hysteresis models for magnetic materials
G Mörée, M Leijon - Energies, 2023 - mdpi.com
There are several models for magnetic hysteresis. Their key purposes are to model
magnetization curves with a history dependence to achieve hysteresis cycles without a …
magnetization curves with a history dependence to achieve hysteresis cycles without a …
[HTML][HTML] Review of Play and Preisach models for hysteresis in magnetic materials
G Mörée, M Leijon - Materials, 2023 - mdpi.com
This paper studies the properties of the Preisach model and the play model, and compare
their similarities. Both are history-dependent hysteresis models that are used to model …
their similarities. Both are history-dependent hysteresis models that are used to model …
Parameter identification and dynamic response analysis of a modified Prandtl–Ishlinskii asymmetric hysteresis model via least-mean square algorithm and particle …
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of
numerous structural systems under high intensity cyclic or random loading, as well as in …
numerous structural systems under high intensity cyclic or random loading, as well as in …
Recurrent neural network with preisach model for configuration-specific hysteresis modeling of tendon-sheath mechanism
The tendon-sheath mechanism (TSM) is widely used for flexible surgical robots owing to its
ability to transfer motion through complicated paths and small volumes. However, precise …
ability to transfer motion through complicated paths and small volumes. However, precise …
[HTML][HTML] Identification of structured nonlinear state–space models for hysteretic systems using neural network hysteresis operators
K Krikelis, JS Pei, K van Berkel, M Schoukens - Measurement, 2024 - Elsevier
Hysteretic system behavior is ubiquitous in science and engineering fields including
measurement systems and applications. In this paper, we put forth a nonlinear state–space …
measurement systems and applications. In this paper, we put forth a nonlinear state–space …
A novel passive structural control device using high-performance NiTiHfPd material
FS Dizaji - Active and Passive Smart Structures and Integrated …, 2022 - spiedigitallibrary.org
This study proposes a super-elastic memory alloy re-centering damper device and
investigates its performance in improving the response of steel frame structures subjected to …
investigates its performance in improving the response of steel frame structures subjected to …
A Hybrid Training Algorithm for Continuum Deep Learning Neuro-Skin Neural Network
MS Dizaji - arXiv preprint arXiv:2302.01819, 2023 - arxiv.org
In this brief paper, a learning algorithm is developed for Deep Learning NeuroSkin Neural
Network to improve their learning properties. Neuroskin is a new type of neural network …
Network to improve their learning properties. Neuroskin is a new type of neural network …
Training of Deep Learning Neuro-Skin Neural Network
MS Dizaji - arXiv preprint arXiv:2007.04796, 2020 - arxiv.org
In this brief paper, a learning algorithm is developed for Deep Learning Neuro-Skin Neural
Network to improve their learning properties. Neuroskin is a new type of neural network …
Network to improve their learning properties. Neuroskin is a new type of neural network …