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Showing 1 to 7 of 7 for “"Preisach Model"”.
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Parameter Identification for the Preisach Model of Hysteresis
… practical information on the subject. The Preisach operator was developed to model hysteresis in magnetism. It is based on a continuous linear combination of relay operators weighted by a distribution function μ. A new method for approximating μ in a finite dimensional space is described. …
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Modeling the United States Unemployment Rate with the Preisach Model of Hysteresis
… describe systems with hysteresis, we use the Preisach model. A discussion of the Preisach model is given as well as a method for computing the hysteretic transformation of an input variable. The focus of this paper is hysteresis in economics, namely, unemployment. We consider essential time …
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Analysis of Hysteretic Systems: Preisach Formalism and Bouc-Wen Modeling
… of hysteresis is notoriously difficult to model. Of notable interest are the inverse models of hysteresis which identify the parameters of a particular model to closely match experimental data. Two major models of hysteresis are the Preisach and Bouc-Wen models. As researchers typically …
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Dynamic recurrent neural networks for stable adaptive control of wing rock motion
… on the properties of the Presiach hysteresis model is used in the design of dynamic neural networks. The structure and memory mechanism in the Preisach model is analogous to the parallel connectivity and memory formation in the RBF neural networks. The proposed dynamic recurrent neural network …
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Aerodynamic and Electromechanical Design, Modeling and Implementation Of Piezocomposite Airfoils
… A distributed parameter electromechanical model is presented for interdigitated piezocomposite unimorph actuators. Necessary structural features that result in large electrically induced deformations are identified theoretically and verified experimentally. A novel, lightweight electrical …
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Nonlinear Mechanical and Actuation Characterization of Piezoceramic Fiber Composites
… by first developing a classical lamination model to predict its short-circuit linear-elastic properties, which are then verified experimentally. The sensitivity of this model to variations in constituent material properties is also studied. Phenomenological models are then used to represent …
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Towards Structural Health Monitoring of Gossamer Structures Using Conductive Polymer Nanocomposite Sensors
… the structure. A sensor network, a mathematical model of the structure, and a damage detection algorithm are necessary components of a structural health monitoring system. In normal operating conditions, a gossamer structure can experience normal strain as high as 50%. But presently available …