Relevant bibliographies by topics / Hysteresis

Academic literature on the topic 'Hysteresis'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Hysteresis"

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Farrokh, Mojtaba, Farzaneh Ghasemi, Mohammad Noori, Tianyu Wang, and Vasilis Sarhosis. "An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors." Applied Sciences 12, no. 23 (December 5, 2022): 12424. http://dx.doi.org/10.3390/app122312424.

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Hysteresis is a non−unique phenomenon known as a multi−valued mapping in different fields of science and engineering. Accurate identification of the hysteretic systems is a crucial step in hysteresis compensation and control. This study proposes a novel approach for simulating hysteresis with various features that combines the extreme learning machine (ELM) and least−squares support vector machine (LS−SVM). First, the hysteresis is converted into a single−valued mapping by deteriorating stop operators, a combination of stop and play hysteresis operators. Then, the converted mapping is learned by a LS−SVM model. This approach facilitates the training steps and provides more accurate results in contrast to the previous experimental studies. The proposed model is evaluated for several hystereses with various properties. These properties include rate−independent or rate−dependent, congruent or non-congruent, and symmetric or asymmetric problems. The results indicate the efficiency of the newly developed technique in terms of accuracy, computational cost, and convergence rate.
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Zhao, Xinlong, Shuai Shen, Liangcai Su, and Xiuxing Yin. "Elman neural network–based identification of rate-dependent hysteresis in piezoelectric actuators." Journal of Intelligent Material Systems and Structures 31, no. 7 (February 25, 2020): 980–89. http://dx.doi.org/10.1177/1045389x20905987.

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Rate-dependent hysteresis nonlinearity in piezoelectric actuators severely limits micro- and nanoscale system performance. It is necessary to establish a dynamic model to describe the full behavior of rate-dependent hysteresis. In this article, the Elman neural network–based hysteresis model is developed for piezoelectric actuators. An improved dynamic hysteretic operator is proposed to transform the multi-valued mapping of hysteresis into one-to-one mapping on a newly constructed expanded input space. Then, Elman neural network incorporated with the improved dynamic hysteretic operator is utilized to approximate the behavior of rate-dependent hysteresis. The combination of Elman neural network and the improved dynamic hysteretic operator can dually embody the dynamic property and is capable of fully extracting the characteristics of rate-dependent hysteresis. The experimental results are presented to illustrate the potential of the proposed modeling technique.
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Yi, Sicheng, Quan Zhang, Liang Xu, Tianhong Wang, and Long Li. "Experimental characterization and modular modeling of hystereses for smart material actuators." Smart Materials and Structures 30, no. 12 (November 12, 2021): 125025. http://dx.doi.org/10.1088/1361-665x/ac3435.

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Abstract In this article, we present a novel modular modeling approach to describe the hystereses for piezoelectric, magnetostrictive and shape memory alloy (SMA) actuators. For the above actuators, the output vs. input loops exhibit varying hystereses under the input signals of the different frequencies and amplitudes. To this end, the experimental characterization is conducted and hysteresis modeling approach is studied. Two characteristic indexes, i.e. loop relative width, loop asymmetry coefficients, are quantitatively analyzed according to the open-loop experiments for the three actuators. Based on the hysteresis phenomenon analyses, different submodels are selected to describe those phenomena. The Prandtl-Ishlinskii submodel is applied for symmetry rate-independent hysteresis identification; the arctangent-polynomial modified Prandtl-Ishlinskii submodel is proposed for asymmetry rate-independent hysteresis identification; infinite impulse response submodel is used for rate-dependent hysteresis identification. Those submodels are selected to construct a cascaded overall model to describe the hysteresis of piezoelectric, magnetostrictive, and SMA actuators. The hysteresis experimental identification results show that, with the proposed phenomenon-based hysteresis modular modeling approach, better performance can be obtained in terms of modeling accuracy and computation time than some other approaches.
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Filippini, Mattia, Piergiorgio Alotto, Gregor Glehn, and Kay Hameyer. "Magnetic transmission gear finite element simulation with iron pole hysteresis." Open Physics 16, no. 1 (April 18, 2018): 105–10. http://dx.doi.org/10.1515/phys-2018-0017.

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Abstract Ferromagnetic poles in a magnetic transmission gear require particular attention during their design process. Usually, during the numerical simulation of these devices the effects of hysteresis for loss estimation are neglected and considered only during post-processing calculations. Since the literature lacks hysteresis models, this paper adopts a homogenized hysteretic model able to include eddy current and hysteresis losses in 2D laminated materials for iron poles. In this article the results related to the hysteresis in a magnetic gear are presented and compared to the non-hysteretic approach.
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Jaafar, M. F., Faizal Mustapha, and Mazli Mustapha. "Dynamic Compression Simulation of Magnetorheological Elastomer Using Bouc-Wen Hysteretic Model." Materials Science Forum 1093 (July 21, 2023): 37–43. http://dx.doi.org/10.4028/p-kv4fhz.

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This paper explores the versatility of Bouc-Wen hysteresis model in simulating the dynamic behaviour of magnetorheological elastomer (MRE) material. Bouc-Wen model have been used in many field of science including modelling the hysteresis phenomenon happen in magnetic material, elastomer, base isolation of structures and many more. Introduced by the Robert Bouc, this nonlinear hysteretic model has been modified by many researchers to suit different applications. Compression testing of MRE material under high strain amplitude produces nonlinear hysteresis curve based on stress-strain data. Bouc-Wen hysteretic model has been found to be able to simulate the hysteresis curve of MRE material using parameter identification method within MATLAB Simulink.
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Banks, H. T., A. J. Kurdila, and G. Webb. "Identification of hysteretic control influence operators representing smart actuators part I: Formulation." Mathematical Problems in Engineering 3, no. 4 (1997): 287–328. http://dx.doi.org/10.1155/s1024123x97000586.

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A large class of emerging actuation devices and materials exhibit strong hysteresis characteristics during their routine operation. For example, when piezoceramic actuators are operated under the influence of strong electric fields, it is known that the resulting input–output behavior is hysteretic. Likewise, when shape memory alloys are resistively heated to induce phase transformations, the input–output response at the structural level is also known to be strongly hysteretic. This paper investigates the mathematical issues that arise in identifying a class of hysteresis operators that have been employed for modeling both piezoceramic actuation and shape memory alloy actuation. Specifically, the identification of a class of distributed hysteresis operators that arise in the control influence operator of a class of second order evolution equations is investigated. In Part I of this paper we introduce distributed,hysteretic control influence operators derived from smoothed Preisach operators and generalized hysteresis operators derived from results of Krasnoselskii and Pokrovskii. For these classes, the identification problem in which we seek to characterize the hysteretic control influence operator can be expressed as an ouput least square minimization over probability measures defined on a compact subset of a closed half-plane. In Part II of this paper, consistent and convergent approximation methods for identification of the measure characterizing the hysteresis are derived.
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Zakerzadeh, Mohammad R., and Hassan Sayyaadi. "Experimental comparison of some phenomenological hysteresis models in characterizing hysteresis behavior of shape memory alloy actuators." Journal of Intelligent Material Systems and Structures 23, no. 12 (June 1, 2012): 1287–309. http://dx.doi.org/10.1177/1045389x12448444.

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Among the phenomenological hysteresis models, the Preisach model, Krasnosel’skii–Pokrovskii model, and Prandtl–Ishlinskii model have found extensive applications for modeling hysteresis in shape memory alloys and other smart actuators. Since the mathematical complexity of the identification and inversion problem depends directly on the type of phenomenological hysteresis modeling method, choosing a proper phenomenological model among the mentioned models for modeling the hysteretic behavior of shape memory alloy actuators is a task of crucial importance. Moreover, the accuracy of the hysteresis modeling method in characterizing shape memory alloy hysteretic behavior consequently affects the whole compensator design task. In this article, the accuracy of the mentioned phenomenological models in characterizing and predicting the hysteretic behavior of shape memory alloy actuators is experimentally compared. It will be shown that although, unlike the Preisach and Krasnosel’skii–Pokrovskii models, the identification process of the Prandtl–Ishlinskii model is a time-consuming process, it leads to the best results when the outputs of these models are compared with the experimental data. Since the Prandtl–Ishlinskii model is also analytically invertible and can be easily implemented as a feed-forward controller for compensating the hysteretic nonlinearity behavior of shape memory alloy actuators, it seems to be the best model for modeling and compensating the hysteretic behavior of shape memory alloy actuators.
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Shi, Zhaoyao, Huiming Cheng, Bo Yu, and Haobin Li. "Loading Rate Dependence of Reducer Hysteresis and Its Influence on Lost Motion Test." Machines 10, no. 9 (September 2, 2022): 765. http://dx.doi.org/10.3390/machines10090765.

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The study of hysteresis can be traced back to the 19th century. The key characteristics of hysteresis are rate independence and rate dependence. A typical system with hysteresis characteristics is the reducer. In the industrial sector, the hysteresis phenomenon of a reducer is often illustrated by the lost motion, which is always consistent with the rate independence by default. In the paper, a hysteretic model of reducer considering geometric errors is established. Theoretically, the hysteretic characteristics of the reducer are found to mostly maintain the rate dependence rather than the rate independence. The loading rate will lead to a change in the hysteretic characteristics of the reducer, thereby affecting the lost motion test and the design of the reducer. Through further experimental research, it is verified that the dependence of the loading rate will have an impact on the results of the lost motion test, and different gear materials have different effects on the dependence of the loading rate.
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Yu, Y., Z. Xiao, N. G. Naganathan, and R. V. Dukkipati. "Dynamic Preisach modelling of hysteresis for the piezoceramic actuator system." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 215, no. 5 (May 1, 2001): 511–21. http://dx.doi.org/10.1243/0954406011520913.

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A rate-dependent hysteresis property is a common phenomenon in various hysteretic systems including the piezoceramic material system. The dynamic Preisach model is needed to describe the rate-dependent hysteresis. This paper proposes a new dynamic Preisach model by introducing the dependence of the Preisach function on the input variation rate. An input variation rate function was introduced to adjust the relationship of hysteresis loop to the input variation rate for different hysteresis systems. A detailed numerical implementation procedure is also presented. Experiments were conducted to study the hysteresis behaviour of the piezoceramic actuator system and to verify the proposed model.
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Tan, Yonghong, and Xinlong Zhao. "NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS." Transactions of the Canadian Society for Mechanical Engineering 31, no. 1 (March 2007): 127–41. http://dx.doi.org/10.1139/tcsme-2007-0008.

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A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.
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Dissertations / Theses on the topic "Hysteresis"

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Adamonis, Jolita [Verfasser]. "Sunk cost hysteresis and hysteresis losses / Jolita Adamonis." Gießen : Universitätsbibliothek, 2018. http://d-nb.info/1153334666/34.

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Jaeger, Paul. "Hysteresis and Avalanches." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154238.

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In this thesis crackling systems have been investigated. Applying an external force on these systems they respond with events of all sizes. The size distribution follows a power law of the form S¯ . Dierent types appear in nature like avalanches or earthquakes. A magnet exposed to an external magnetic eld will "crackle" as well during its magnetization. Applying the Ising model on the system, a C++ code has been developed to simulate this process. The resulting data has been used to discuss the system with concepts of statistical mechanics like universality or scale invariance. Varying the level of impurity of the magnet, the disorder R, the system exhibits a continuous nonequilibrium phase transition. At its critical point RC the described power law behavior occurs. The critical exponent has been extracted fitting the histogram data with a power law curve. RC has been determined using the behavior of a scaling function for different values of R.
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Piscitelli, Laura. "Hysteresis in economics." Thesis, University of Strathclyde, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433594.

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Lang, Dany. "Hysteresis in unemployment." Aix-Marseille 2, 2004. http://www.theses.fr/2004AIX24009.

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Cette thèse se propose d'explorer les diverses facettes du concept d'hystérèse et d'en examiner la portée et les enjeux pour l'analyse du taux de chômage. Plus précisément, ce travail tente de déterminer dans quelle mesure, et sous quelles conditions, les modèles d'hystérèse du taux de chômage permettent des modélisations opératoires, différentes de celles proposées dans les modèles dont les dynamiques sont fondées sur les concepts de taux de chômage naturel (NRU, Natural Rate of Unemployment) et de taux de chômage n'accélérant pas l'inflation (NAIRU, Non Accelerating Inflation Rate of Unemployment). Le propos de déploie en trois moments. Le premier propose une analyse approfondie des ± Autres α de l'hystérèse, le NRU et le NAIRU, et de leurs dynamiques macroéconomiques associées. Le deuxième s'attache à l'examen de trois approches de l'hystérèse en économie, et aux problèmes qu'elles soulèvent, en particulier en termes d'attraction : l'hystérèse vue comme la présence d'une racine unitaire, l'hystérèse envisagée comme une théorie des changements structurels endogènes, et l'hystérèse définie comme un processus d'ajustement en déséquilibre (disequilibrium adjustment). Le troisième chapitre porte sur l'hystérésis ± véritable α, c'est-à-dire correspondant à la définition du phénomène utilisée dans les champs scientifiques comme la physique ou la biologie. Outre l'etablissement d'une typologie des principaux modèles d'hystérèse, et l'analyse critique détaillée des différents modèles de NRU, de NAIRU et d'hystérèse, cette thèse tente d'apporter sa contribution propre à l'économie appliquée de l'hystérèse, puisqu'une version hystérétique de la relation d'Okun, ainsi qu'une version hystérétique de la ± courbe de Phillips α, sont construites puis testées
The aim of this thesis is to explore the different aspects of the concept of hysteresis, and to examine its import and the issues it raises for the analysis of unemployment. More precisely, the work tries to determine to what extent, and under what conditions, hysteresis gives rise to operational models of unemployment that differ from models whose dynamics are founded on the Natural Rate of Unemployment (NRU) or on the Non Accelerating Inflation Rate of Unemployment (NAIRU) concepts. The thesis consists of three chapters. The first one proposes a detailed analysis of the Othersʺ of hysteresis, the NRU and the NAIRU, and of their associated macroeconomic dynamics. The second chapter examines three approaches to hysteresis in economics, and the problems associated with them. . These approaches are hysteresis seen as the presence of a unit root, hysteresis conceived as a theory of endogenous structural change, and hysteresis defined as a process of disequilibrium adjustment. The last chapter is about genuineʺ hysteresis, the definition of which corresponds to the definition given to the phenomenon of hysteresis in scientific fields like physics or biology. Apart from establishing a typology of the main models of hysteresis, and providing a detailed critical analysis of the different models of the NRU, NAIRU and hysteresis, this thesis also makes its own contribution to applied economics, by constructing and then testing hysteretic versions of Okun's law and the Phillips curveʺ
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Likens, Aaron D. "Hysteresis in visual search /." Read thesis online, 2010. http://library.uco.edu/UCOthesis/LikensAD2010.pdf.

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Kopfová, Jana. "Differential equations involving hysteresis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0007/NQ29055.pdf.

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Morgan, Justin. "HYSTERESIS EFFECTS IN DRIVING." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3236.

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This dissertation presents two studies examining the interaction between workload history and driver mental workload. The first experiment focuses on testing for the presence of a hysteresis effect in the driving task. The second experiment examines the proposition that cueing impending periods of higher task demand can reduce the impact of any such potential hysteresis effects. Thirty-two licensed drivers served as participants and all served in both studies. Using the directions provided by a Heads-Up-Display navigation system, participants followed a pre-set route in the simulated environment. At specified points within the drive, the navigation system would purposefully fail which required drivers to relay a ten digit alphanumeric error code to a remote operator in order to reset the system. Results indicated that this increase in task demand from the navigation system's failure leads to a significant increase in perceived mental workload as compared to pre-failure periods. This increase in driver mental workload was not significantly reduced by the time the drive ended, indicating the presence of a hysteresis effect. In the second experiment, the navigation system provided a completely reliable visual warning before failure. Results indicate that cueing had neither an effect on perceived mental workload, nor any ameliorating effect on the hysteretic type effect seen in mental workload recovery. The conclusion of these findings being that the overall safety and efficiency of the surface transportation system would likely improve by designs which accommodate the periods immediately following a reduction in stress. Whether from leaving high demand areas such as work zones or in the period immediately after using a in-car information device such as a GPS or a cell phone, these post-high workload periods are associated with increased variability in driver inputs and levels of mental workload.
Ph.D.
Department of Psychology
Sciences
Psychology PhD
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Valiullin, Rustem, Jörg Kärger, and Peter Monson. "Adsorption hysteresis in nanopores." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196715.

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Galinaitis, William S. "Two Methods for Modeling Scalar Hysteresis and their use in Controlling Actuators with Hysteresis." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/40390.

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The accurate control of a positioning system that exhibits scalar hysteresis requires a control strategy that incorporates compensation for the hysteresis. One approach is to develop a compensator based on an inverse hysteresis operator. This method uses an open loop control in which the inverse operation adjusts the actuator input to compensate for the hysteresis in the system. When this is accomplished, the composite operation produces a linear relationship between a reference input and the system output. The difficulty of this method lies in developing an accurate model of the hysteresis for which an inverse operator can be obtained. In this work, a system with hysteresis is modeled by a generic model based on a Preisach type operator. First, it is shown that the operator has an inverse and that both have approximations that are convergent. Then, simulation and experimental data are used to demonstrate the ability of the operator to accurately model a hysteresis relationship. This lays the foundation for then demonstrating the concept of inverse compensation.
Ph. D.
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Coman, Ciprian Danut. "Non-smooth oscillators with hysteresis." Thesis, University of Bath, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340952.

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Books on the topic "Hysteresis"

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Torre, Edward Della. Magnetic hysteresis. New York: IEEE Press, 1999.

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2

Krasnosel’skiǐ, Mark A., and Aleksei V. Pokrovskiǐ. Systems with Hysteresis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-61302-9.

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Briem, Ölafur. Hysteresis in unemployment. [s.l.]: typescript, 1988.

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Giovannetti, Giorgia. Hysteresis in exports. Washington, D.C: International Monetary Fund, 1995.

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Baldwin, Richard E. Sunk-cost hysteresis. Cambridge, MA: National Bureau of Economic Research, 1989.

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Giovannetti, Giorgia. Hysteresis in exports. London: Centre for Economic Policy Research, 1996.

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Blanchard, Olivier. Hysteresis in unemployment. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1986.

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Blanchard, Olivier. Hysteresis in unemployment. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1986.

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Blanchard, Olivier. Hysteresis in unemployment. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1986.

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Krasnosel'skiǐ, Mark A. Systems with Hysteresis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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Book chapters on the topic "Hysteresis"

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Reutter, Michael. "Hysteresis." In Lecture Notes in Economics and Mathematical Systems, 93–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18159-7_8.

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Kumar, Vijay. "Hysteresis." In Encyclopedia of Earth Sciences Series, 554–55. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2642-2_252.

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Gooch, Jan W. "Hysteresis." In Encyclopedic Dictionary of Polymers, 378–79. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6176.

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Al Najjar, Mayssaa, Milad Ghantous, and Magdy Bayoumi. "Hysteresis Thresholding." In Lecture Notes in Electrical Engineering, 147–74. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1857-3_7.

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Visintin, Augusto. "Discontinuous Hysteresis." In Applied Mathematical Sciences, 151–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-11557-2_9.

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Suderland, Maja. "Hysteresis (hystérésis)." In Bourdieu-Handbuch, 127–29. Stuttgart: J.B. Metzler, 2014. http://dx.doi.org/10.1007/978-3-476-01379-8_26.

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Brokate, Martin, and Jürgen Sprekels. "Hysteresis Operators." In Hysteresis and Phase Transitions, 22–121. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4048-8_3.

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Qian, Linmao, and Bingjun Yu. "Adhesion Hysteresis." In Encyclopedia of Tribology, 29–32. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-0-387-92897-5_460.

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Weik, Martin H. "hysteresis loop." In Computer Science and Communications Dictionary, 743. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8560.

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Brokate, Martin. "Hysteresis operators." In Phase Transitions and Hysteresis, 1–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0073394.

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Conference papers on the topic "Hysteresis"

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Taló, Michela, Walter Lacarbonara, Giovanni Formica, and Giulia Lanzara. "Hysteresis Identification of Carbon Nanotube Composite Beams." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86228.

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Nanocomposites made of a hosting polymer matrix integrated with carbon nanotubes as nanofillers exhibit an inherent hysteretic behavior arising from the CNT/matrix frictional sliding. Such stick-slip mechanism is responsible for the high damping capacity of CNT nanocomposites. A full 3D nonlinear constitutive model, framed in the context of the Eshelby-Mori-Tanaka theory, reduced to a 1D phenomenological model is shown to describe accurately the CNT/polymer stick-slip hysteresis. The nonlinear hysteretic response of CNT nanocomposite beams is experimentally characterized via displacement-driven tests in bending mode. The force-displacement cycles are identified via the phenomenological model featuring five independent constitutive parameters. A preliminary parametric study highlights the importance of some key parameters in determining the shape of the hysteresis loops. The parameter identification is performed via one of the variants of a genetic-type differential evolution algorithm. The nanocomposites hysteresis loops are identified with reasonably low mean square errors. Such outcome confirms that the 1D phenomenological model may serve as an effective tool to describe and predict the nanocomposite nonlinear hysteretic behavior towards unprecedented material optimization and design.
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Ma, Fai. "On the Identification of Hysteresis in Inelastic Systems." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21271.

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Abstract The generalized model of differential hysteresis contains thirteen control parameters with which it can curve-fit practically any hysteretic trace. Three identification algorithms are developed to estimate the control parameters of hysteresis for different classes of inelastic structures. These algorithms are based upon the simplex, extended Kalman filter, and generalized reduced gradient methods. Novel techniques such as global search and internal constraints are incorporated to facilitate convergence and stability. Effectiveness of the devised algorithms is demonstrated through simulations of two inelastic systems with both pinching and degradation characteristics in their hysteretic traces. Due to very modest computing requirements, these identification algorithms may become acceptable as a design tool for mapping the hysteretic traces of inelastic structures.
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Galinaitis, William S., and Robert C. Rogers. "Control of a hysteretic actuator using inverse hysteresis compensation." In 5th Annual International Symposium on Smart Structures and Materials, edited by Vasundara V. Varadan. SPIE, 1998. http://dx.doi.org/10.1117/12.316308.

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Bashash, Saeid, Kushan Vora, Nader Jalili, Philip G. Evans, Marcelo J. Dapino, and Julie Slaughter. "Modeling Major and Minor Hysteresis Loops in Galfenol-Driven Micro-Positioning Actuators Using a Memory-Based Hysteresis Framework." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2271.

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This article presents a memory-based hysteresis modeling framework which uses a mathematical mapping technique for accurate prediction of major and minor hysteresis loops in Galfenol-driven actuators. The model is based on three properties of hysteretic materials which have been recently established for piezoelectric actuators. These properties are: targeting of turning points, curve alignment and the wiping-out effect. To describe the anhysteretic behavior of the actuator, we initially separate the nonlinearity of the hysteretic response from the hysteresis looping effect and approximate it with a piecewise exponential function. This function is then utilized in a nonlinear mapping procedure, where it is mapped between consequent turning points recorded in the model’s memory unit. This mapping requires two constant shaping parameters for the ascending and two for the descending trajectories. To assess the performance of the proposed model and for experimental verification, a Galfenol-driven micro-positioning cantilever actuator is utilized. The results indicate that the model is able to precisely predict the response of the actuator for its full-range motion including both major and minor hysteresis loops. The maximum error percentage and the average error between the experiment and the model for a 120 μm stroke are 1.5% and 435 nm, respectively. With using only 14 coefficients, the proposed framework not only offers a precise model, but also a computationally efficient algorithm to quantify the hysteresis response of Galfenol-driven actuators.
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5

Mynderse, James A., and George T. C. Chiu. "Two Degree-of-Freedom Hysteresis Compensation for a Dynamic Mirror With Antagonistic Piezoelectric Stack Actuation." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3869.

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A methodology for designing a low-computation, high-bandwidth strategy for closed-loop control of a hysteretic system without a priori knowledge of the desired trajectory is presented. The resulting two degree-of-freedom hysteresis control strategy is applied to a dynamic mirror with antagonistic piezoelectric stack actuation. Hysteresis compensator is performed by a finite state machine switching polynomials for hysteresis inversion based on the input signal slope. Residual error after hysteresis compensation is corrected by an LQR feedback controller. Experimental results demonstrate effectiveness of the hysteresis compensator and closed-loop system under the proposed hysteresis control strategy. For the triangular input signal tested, the closed-loop system achieves a 91.5% reduction in hysteresis uncertainty with 60 kHz sample rate.
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Choudhury, Sayantan, and Shreya Banerjee. "Cosmic hysteresis." In Proceedings of the MG14 Meeting on General Relativity. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813226609_0093.

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Carboni, Biagio, and Walter Lacarbonara. "Dynamic Response of Nonlinear Oscillators With Hysteresis." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46352.

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The nonlinear features of the steady-state periodic response of hysteretic oscillators are investigated. Frequency-response curves of base-excited single-degree-of-freedom (SDOF) systems possessing different hysteretic restoring forces are numerically obtained employing a continuation procedure based on the Jacobian of the Poincaré map. The memory-dependent restoring forces are expressed as a direct summation of linear and cubic elastic components and a hysteretic part described by a modified version of the Bouc-Wen law. The resulting force-displacement curves feature a pinching around the origin. Depending on the hysteresis material parameters (which regulate the shapes of the hysteresis loops), the oscillator exhibits hardening, softening and softening-hardening behaviors in which the switching from softening to hardening takes place above certain base excitation amplitudes. A comprehensive analysis in the parameters space is performed to identify the thresholds of these different behaviors. The restoring force features here considered have been experimentally obtained by means of an original rheological device comprising assemblies of steel and shape memory wire ropes. This study is carried out also with the aim of designing the restoring forces which give rise to dynamical behaviors useful for a variety of applications.
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Kilicarslan, Atilla, Gangbing Song, and Karolos M. Grigoriadis. "LPV Gain Scheduling Control of Hysteresis on an SMA Wire System." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2623.

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In this work, a Linear Parameter-Varying (LPV) control method is used to compensate the hysteretic behavior of a Shape Memory Alloy (SMA) wire. Controller is implemented on an experimental system which consists of a pre-tension spring and a mass actuated with a thin SMA wire. The hysteretic characteristic of the SMA wire is modeled using the Preisach model and the model is verified both for the major and minor hysteresis loops. The small signal linear gain of the Preisach model is used as a scheduling stiffness variable. The parameter-dependent controller is scheduled based on the real time measurement of the stiffness variable. An H∞ controller is also synthesized by representing the hysteresis as a parametric uncertainty and comparisons are made with LPV gain scheduling controllers using similar weights for both controllers. Experimental trajectory tracking results show that the LPV Gain Scheduling controller has a better response and the hysteresis uncertainty is compensated for the full range of stiffness variability.
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Ma, F., C. H. Ng, H. Zhang, A. Bockstedte, G. C. Foliente, and P. Paevere. "On Parametric Analysis of Differential Hysteresis." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48213.

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The extended Bouc-Wen differential model is one of the most widely accepted phenomenological models of hysteresis in mechanics. It is routinely used in the characterization of nonlinear damping and in system identification. In this paper, the differential model of hysteresis is carefully re-examined and two significant issues are uncovered. First, it is found that the unspecified parameters of the model are functionally redundant. One of the parameters can be eliminated through suitable transformations in the parameter space. Second, local and global sensitivity analyses are conducted to assess the relative sensitivity of each model parameter. Through extensive Monte Carlo simulations, it is found that some parameters of the hysteretic model are rather insensitive. If the values of these insensitive parameters are fixed, a greatly simplified model is obtained.
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Zhang, H., Y. Yang, G. C. Foliente, and F. Ma. "Parameter Identification of Inelastic Structures." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9065.

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Abstract Structures often exhibit nonlinear and inelastic behavior in the form of hysteresis loop under severe loads associated with earthquake, austere winds and waves. Hysteresis is particularly important in depicting the nonlinear response of wood buildings, braced steel frames, reinforced concrete, and structures with a high proportion of composite materials. A practical model of hysteresis that would match experimental observations on real structures is needed for the successful design of structures against earthquakes and strong winds. Two different time-domain system identification algorithms will be presented in this report to estimate the parameters of an extended Bouc-Wen hysteretic model. This version of the differential model of hysteresis can curve-fit practically any hysteresis trace with a suitable choice of the model parameters. Thirteen control parameters are included in the model. The parameter identification algorithms presented in this report include the constrained simplex and generalized reduced gradient methods. Noise filtering techniques and constraints will also be used in this study to assist in parameter identification. The effectiveness of the proposed algorithms will be demonstrated through simulations of nonlinear systems with pinching and degradation characteristics. Due to very modest computing requirements, the proposed identification algorithms can be acceptable as a basic tool for estimating hysteretic parameters in engineering design.
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Reports on the topic "Hysteresis"

1

Mayergoyz, Isaak. MATHEMATICAL MODELS OF HYSTERESIS (DYNAMIC PROBLEMS IN HYSTERESIS). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/889747.

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Blanchard, Olivier, and Lawrence Summers. Hysteresis in Unemployment. Cambridge, MA: National Bureau of Economic Research, October 1986. http://dx.doi.org/10.3386/w2035.

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Baldwin, Richard. Sunk-Cost Hysteresis. Cambridge, MA: National Bureau of Economic Research, March 1989. http://dx.doi.org/10.3386/w2911.

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Mayergoyz, I. D. [Mathematical models of hysteresis]. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6911694.

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Mayergoyz, I. D. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/6946876.

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Saez, Emmanuel, Benjamin Schoefer, and David Seim. Hysteresis from Employer Subsidies. Cambridge, MA: National Bureau of Economic Research, October 2019. http://dx.doi.org/10.3386/w26391.

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Riabov, Georgii, and Aleh Tsyvinski. Policy with Stochastic Hysteresis. Cambridge, MA: National Bureau of Economic Research, April 2021. http://dx.doi.org/10.3386/w28712.

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Mayergoyz, I. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5246564.

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Peggs, Steve. Tune Shifts Due to Hysteresis. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/1119565.

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Smith, Ralph C., and Rick Zrostlik. Inverse Compensation for Ferromagnetic Hysteresis. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada446025.

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