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 …

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 …

“Piezoelectric-Based Vibration-control Systems: Applications in Micro/Nano Sensors and
Actuators” covers: Fundamental concepts in smart (active) materials including piezoelectric …

Optical fiber sensor network has attracted considerable research interests for geoscience
applications. However, the sensor capacity and ultra-low frequency noise limits the sensing …

A computationally efficient and robust neural network-based model to reproduce the
hysteresis phenomenon for soft ferromagnetic alloys is here presented, as well as a …

A general neural approach to magnetic hysteresis modeling is proposed. The general
memory storage properties of systems with rate independent hysteresis are outlined. Thus, it …

As a part of our research on several different types of Giacometti robots, a 20-m-long,
considerably light, and simple robot arm, referred to as the Giacometti arm, is developed in …

The basic physical processes can be rigorously treated using the quantum mechanics. This
is done at atomic level and is far from the aim of this chapter. Other approaches at …

An extensive growth in the application of ferromagnetic materials require a firm theoretical
understanding of the material behavior to accomplish accurate model prediction. The aim of …

The paper outlines the basic features concerning the design of'embedded'control and
compensation algorithms suitable to be employed in smart sensors and actuators, for real …