Search results for " function"

showing 10 items of 9395 documents

Statistical correlation of fractional oscillator response by complex spectral moments and state variable expansion

2016

Abstract The statistical characterization of the oscillator response with non-integer order damping under Gaussian noise represents an important challenge in the modern stochastic mechanics. In fact, this kind of problem appears in several issues of different type (wave propagation in viscoelastic media, Brownian motion, fluid dynamics, RLC circuit, etc.). The aim of this paper is to provide a stochastic characterization of the stationary response of linear fractional oscillator forced by normal white noise. In particular, this paper shows a new method to obtain the correlation function by exact complex spectral moments. These complex quantities contain all the information to describe the r…

State variableNon-Newtonian damping Fractional-order state variables Analytical stationary variance Exact complex spectral moments02 engineering and technologyFractional-order state variable01 natural sciencesAnalytical stationary variance010305 fluids & plasmassymbols.namesake0203 mechanical engineering0103 physical sciencesExact complex spectral momentNumerical AnalysiBrownian motionMathematicsNumerical AnalysisMellin transformStochastic processApplied MathematicsMathematical analysisWhite noiseNon-Newtonian dampingMoment (mathematics)Correlation function (statistical mechanics)020303 mechanical engineering & transportsGaussian noiseModeling and Simulationsymbols
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Space-vector State Dynamic Model of the Synchronous Reluctance Motor Considering Self, Cross-Saturation and Iron Losses

2021

This paper proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation, cross-saturation effects, and iron losses expressed in state form, where the magnetizing current has been selected as a state variable. The proposed dynamic model is based on an original function between the stator flux and the magnetizing current components, improving a previously developed magnetic model. Additionally, the proposed model includes, besides the magnetic saturation, also iron losses. The proposed model requires 11 coefficients, among which 6 describe the self-saturation on both axes and 5 describe the cross-saturation. Starting from the definition of a…

State variablemagnetic modelComputer simulationEstimation theoryStatorFunction (mathematics)parameters' estimationMagnetic fluxlaw.inventionError functionSettore ING-INF/04 - AutomaticaControl theorylawIron lossesReciprocity (electromagnetism)space-vector dynamic modelSynchronous Reluctance Motor (SynRM)Mathematics
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El origen del error de inversión y las bases neuronales subyacentes

2018

Una línea de investigación importante en la enseñanza-aprendizaje de las matemáticas, más concretamente en la resolución algebraica de problemas verbales, es la centrada en identificar los procesos cognitivos que se ponen en juego desde que un sujeto identifica una relación matemática en un problema hasta que la expresan mediante una expresión algebraica. Un caso en el que un número importante de estudiantes reconocen el esquema conceptual, pero no son capaces de plasmar una expresión matemática correcta sería el conocido como error de inversión. Este error aparece en los problemas en los que se plantean proposiciones verbales de comparación aditiva y multiplicativa. El nombre del error pro…

Statement (computer science)Identification (information)Computer scienceMultiplicative functionCognitionGeneral MedicineAlgebraic numberAlgebraic expressionArithmeticRepresentation (mathematics)Conceptual schemaRevista de Educación de la Universidad de Granada
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A Checklist for Assessing the Methodological Quality of Concurrent tES-fMRI Studies (ContES Checklist): A Consensus Study and Statement

2020

AbstractBackgroundLow intensity transcranial electrical stimulation (tES), including alternating or direct current stimulation (tACS or tDCS), applies weak electrical stimulation to modulate the activity of brain circuits. Integration of tES with concurrent functional magnetic resonance imaging (fMRI) allows for the mapping of neural activity during neuromodulation, supporting causal studies of both brain function and tES effects. Methodological aspects of tES-fMRI studies underpin the results, and reporting them in appropriate detail is required for reproducibility and interpretability. Despite the growing number of published reports, there are no consensus-based checklists for disclosing …

Statement (computer science)International networkmedia_common.quotation_subjectSteering committeeApplied psychologyChecklist030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineQuality (business)PsychologyMethodological qualitycomputer030217 neurology & neurosurgeryDelphiBrain functionmedia_commoncomputer.programming_language
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Economic values for production and functional traits in Valle del Belice dairy sheep using profit functions

2011

Abstract A deterministic static model was used to estimate the economic values (EV) of production (MY, milk yield; BW, birth weight; and ADG, average daily gain) and functional traits (ASR, adult survival rate; LSR, lamb survival rate; FE, fertility; PR, prolificacy; and LW ewe , mature weight of ewe) in Valle del Belice dairy sheep. In this study, values for the biological parameters and the production traits used in the model were taken from real data, by surveying 15 Valle del Belice farmers and reflected the production circumstances of pasture based dairy production systems. In this system feed cost accounted for 95% of total variable costs, whereas fixed costs were low and reflected tr…

Static modelBirth weightAnimal husbandryBiologyMilk productionProfit (economics)Sheep Breeding objectives Economic values Profit functionSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMilk yieldAnimal scienceFood AnimalsAnimal Science and ZoologyPasture based
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Stationary and non-stationary probability density function for non-linear oscillators

1997

A method for the evaluation of the stationary and non-stationary probability density function of non-linear oscillators subjected to random input is presented. The method requires the approximation of the probability density function of the response in terms of C-type Gram-Charlier series expansion. By applying the weighted residual method, the Fokker-Planck equation is reduced to a system of non-linear first order ordinary differential equations, where the unknowns are the coefficients of the series expansion. Furthermore, the relationships between the A-type and C-type Gram-Charlier series coefficient are derived.

Stationary distributionCharacteristic function (probability theory)Applied MathematicsMechanical EngineeringMathematical analysisProbability density functionStationary sequencestochastic non-linear dynamics; Gram-Charlier expansions; approximate probability density functionGram-Charlier expansionsMechanics of Materialsstochastic non-linear dynamicsProbability distributionProbability-generating functionapproximate probability density functionSeries expansionRandom variableMathematics
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Non-Gaussian probability density function of SDOF linear structures under wind actions

1998

Abstract Wind velocity is usually analytically described adding a static mean term to a zero mean fluctuation stationary process. The corresponding aerodynamic alongwind force acting on a single degree of freedom (SDOF) structure can be considered as a sum of three terms proportional to the mean wind velocity, to the product between mean and fluctuating part of the wind velocity and to the square power of the fluctuating wind velocity, respectively. The latter term, often neglected in the literature, is responsible for the non-Gaussian behaviour of the response. In this paper a method for the evaluation of the stationary probability density function of SDOF structures subjected to non-Gauss…

Stationary processStationary distributionSeries (mathematics)Renewable Energy Sustainability and the EnvironmentMechanical EngineeringGaussianMathematical analysisProbability density functionWind speedAerodynamic forcesymbols.namesakesymbolsSeries expansionCivil and Structural EngineeringMathematicsAlongwind response; Probability density function; Non-Gaussian stochastic analysis
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Power-law relaxation in a complex system: Omori law after a financial market crash

2003

We study the relaxation dynamics of a financial market just after the occurrence of a crash by investigating the number of times the absolute value of an index return is exceeding a given threshold value. We show that the empirical observation of a power law evolution of the number of events exceeding the selected threshold (a behavior known as the Omori law in geophysics) is consistent with the simultaneous occurrence of (i) a return probability density function characterized by a power law asymptotic behavior and (ii) a power law relaxation decay of its typical scale. Our empirical observation cannot be explained within the framework of simple and widespread stochastic volatility models.

Statistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Stochastic volatilityStochastic processFOS: Physical sciencesQuantitative Finance - Statistical FinanceAbsolute valueCrashProbability density functionPower lawFOS: Economics and businessLawEconometricsRelaxation (physics)Time seriesCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Noise-enhanced stability of periodically driven metastable states

2000

We study the effect of noise-enhanced stability of periodically driven metastable states in a system described by piecewise linear potential. We find that the growing of the average escape time with the intensity of the noise is depending on the initial condition of the system. We analytically obtain the condition for the noise enhanced stability effect and verify it by numerical simulations.

Statistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesMechanicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksStability (probability)Piecewise linear functionControl theoryMetastabilityInitial value problemNoise (radio)Intensity (heat transfer)Condensed Matter - Statistical MechanicsMathematics
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Nonlinear response functions in an exponential trap model

2014

The nonlinear response to an oscillating field is calculated for a kinetic trap model with an exponential density of states and the results are compared to those for the model with a Gaussian density of states. The calculations are limited to the high temperature phase of the model. It is found that the results are qualitatively different only in a temperature range near the glass transition temperature $T_0$ of the exponential model. While for the Gaussian model the choice of the dynamical variable that couples to the field has no impact on the shape of the linear response, this is different for the exponential model. Here, it is found that also the relaxation time strongly depends on the …

Statistical Mechanics (cond-mat.stat-mech)Field (physics)Condensed matter physicsChemistryFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsKinetic energyElectronic Optical and Magnetic MaterialsExponential functionNonlinear systemCorrelation function (statistical mechanics)Computational chemistryMaterials ChemistryCeramics and CompositesSoft Condensed Matter (cond-mat.soft)Limit (mathematics)ScalingCondensed Matter - Statistical MechanicsVariable (mathematics)
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