A Wiener model identification for creep and vibration linear and hysteresis nonlinear dynamics of piezoelectric actuator

C Qi, J Lin, Y Wu, F Gao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The piezoelectric actuator exhibits both linear dynamics of creep and vibration and
nonlinear dynamics of hysteresis. The model identification from experiments can …

Uncertain nonlinear system identification using Jaya-based adaptive neural network

NN Son, TM Chinh, HPH Anh - Soft Computing, 2020 - Springer
The piezoelectric actuator has been receiving tremendous interest in the past decade, due
to its broad applications in areas of micro-robotics, neurosurgical robot, MEMS, exoskeleton …

Machine learning identification of piezoelectric properties

M Del Castillo, N Pérez - Materials, 2021 - mdpi.com
The behavior of a piezoelectric element can be reproduced with high accuracy using
numerical simulations. However, simulations are limited by knowledge of the parameters in …

[PDF][PDF] Application of deep neural networks in modeling the capture of Ips sexdentatus in pheromone trap.

GE Özcan, A Karacı, K Enez - Environmental Engineering & …, 2022 - researchgate.net
In this study, the results were obtained for the first time during the flight period of the target
species Ips sexdentatus, which has the potential to pose a threat to the forests of the region …

Hysteresis identification of piezoelectric actuator using neural network trained by Jaya algorithm

NN Son, HPH Anh, C Van Kien… - … Symposium on Electrical …, 2019 - ieeexplore.ieee.org
The hysteresis nonlinearity widely existing in smart materials yields undesirable responses,
which cause the hysteresis control problem even more challenging. Therefore, many studies …

The nlogistic-sigmoid function

OA Somefun, K Akingbade, F Dahunsi - 2020 - europepmc.org
The variants of the logistic-sigmoid functions used in artificial neural networks are inherently,
by definition, limited by vanishing gradients. Defining the logistic-sigmoid function to become …

An Artificial Neural Network Model for Multiple Piezoelectric Actuation of Plates

L Jiang, P Yu, M Fan - … Engineering Congress and …, 2022 - asmedigitalcollection.asme.org
With the increasing use of piezoelectric smart structures in various fields, the search for
further optimization of the devices is inevitable. In this work, both artificial neural network …

[PDF][PDF] THE MODELLING OF A HYSTERESIS GRAPH OF PIEZOELECTRIC ELEMENTS USING DEEP LEARNING BIDIRECTIONAL LSTM.

F Al-Inizi, M Płaczek, A Wróbel, J Harazin - International Journal of Modern …, 2024 - ijmmt.ro
The phenomenon of hysteresis is an integral part of dynamic systems in many fields of
science such as physics, chemistry, biology and many more. It describes an inherent …

Modeling and Identification of the Non-linear Dynamics of a Piezoelectric Actuator-A Review

RM Navale, ABK Patil, JL Minase… - SAMRIDDHI: A Journal …, 2021 - smsjournals.com
There is currently no exact dynamic model which predicts hysteresis and creeps in a
piezoelectric actuator under varying operating conditions (increasing frequency and …

Estimating elasticity modulus of the piezo ceramic disc (PCD) using basic mathematical modelling

L Parali, A Sari, L Malgaca, J Pechousek, F Latal - Optik, 2018 - Elsevier
The objective of this paper is to determine a mathematical modelling of piezoceramic disc
vibration using a single degree freedom mechanical model, with estimation of its elasticity …