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 …

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 …

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 …

Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore several models have been proposed for hysteresis …

Preisach model is a well‐known hysteresis identification method in which the hysteresis is
modeled by linear combination of hysteresis operators. Although Preisach model describes …

This paper presents a neural network (NN) based model for hysteresis nonlinearity with
multivalued mapping. It is proved that the Preisach-type hysteresis can be transformed into a …

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 …

This paper presents a hybrid neural network (NN) model for hysteresis in mechanical or
piezoelectric systems. It is proven that the Preisach-type hysteresis can be transformed to …

Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore, several models have been proposed for hysteresis …

A novel and simple approach to modeling hysteresis nonlinearities is proposed. The
continuous transformation technique is used to construct an elementary hysteresis model …