Shape memory alloys (SMAs) are widely used in aerospace, automobile, and other fields because of their excellent properties, such as large driving force deformation. A training method with a bidirectional effect is proposed for SMA actuators. The trained units can be heated cooled to change shape (shorten extend). an actuator drive the deformation structure. Due obvious hysteresis characteristi...

The article considers a hysteretic model of consumer behaviour in mono-product markets. Demand generation with regard to an individual is modeled using non-ideal relay inverted thresholds. Therefore, the sales rate defined as analogue Preisach converter. problem optimal production, storage, and distribution goods, taking into account nature demand curve. reduced non-classical control non-linear...

The explanation of fatigue as a spatially non-uniform kinetic imprint due to evolution of the local threshold field distribution function has been proposed by us recently. In this paper we propose a new switching current analysis which allows to extract the distribution function from the data of conventional hysteresis loop measurements. Domain kinetics in slow-increasing field in spatially inh...

This paper deals with a hybrid actuator composed by a piezo and a hydraulic part and with a cascade PID-PD control structure for camless engine motor applications. The idea is to use the advantages of both, the high precision of the piezo and the force of the hydraulic part. In fact, piezoelectric actuators (PEAs) are commonly used for precision positionings, despite PEAs present nonlinearities...

A class of dynamical systems with hysteresis is considered, where the hysteresis nonlinearity is coupled to an ordinary differential equation (ODE) in an unusual manner. Such systems arise in various contexts, e.g., smart material modeling, open-loop control of smart material actuators, and feedback control of systems involving hysteretic components. In this paper the Preisach operator is used ...

A modeling technique for rate-independent ~quasistatic! scalar magnetic hysteresis is presented, using neural networks. Based on the theory of dynamic systems and the wiping-out and congruency properties of the classical scalar Preisach hysteresis model, the choice of a feed-forward neural network model is motivated. The neural network input parameters at each time step are the corresponding ma...