Search results for "linearization"

showing 10 items of 115 documents

Holomorphic mappings of bounded type

1992

Abstract For a Banach space E, we prove that the Frechet space H b(E) is the strong dual of an (LB)-space, B b(E), which leads to a linearization of the holomorphic mappings of bounded type. It is also shown that the holomorphic functions defined on (DFC)-spaces are of uniformly bounded type.

Pure mathematicsMathematics::Complex VariablesApplied MathematicsHolomorphic functional calculusMathematical analysisHolomorphic functionBanach spaceType (model theory)Bounded typeLinearizationFréchet spaceUniform boundednessAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Linearization of complex hyperbolic Dulac germs

2021

We prove that a hyperbolic Dulac germ with complex coefficients in its expansion is linearizable on a standard quadratic domain and that the linearizing coordinate is again a complex Dulac germ. The proof uses results about normal forms of hyperbolic transseries from another work of the authors.

Pure mathematicsMathematics::Dynamical SystemsMathematics::Complex VariablesApplied Mathematics010102 general mathematicsMathematics::Classical Analysis and ODEsDynamical Systems (math.DS)01 natural sciencesDomain (mathematical analysis)Dulac germs and series ; Hyperbolic fixed point ; Linearization ; Koenigs' sequenceQuadratic equationLinearization0103 physical sciencesFOS: MathematicsGerm010307 mathematical physics0101 mathematicsMathematics - Dynamical SystemsAnalysisMathematics
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Plasmon mass scale and quantum fluctuations of classical fields on a real time lattice

2018

Classical real-time lattice simulations play an important role in understanding non-equilibrium phenomena in gauge theories and are used in particular to model the prethermal evolution of heavy-ion collisions. Above the Debye scale the classical Yang-Mills (CYM) theory can be matched smoothly to kinetic theory. First we study the limits of the quasiparticle picture of the CYM fields by determining the plasmon mass of the system using 3 different methods. Then we argue that one needs a numerical calculation of a system of classical gauge fields and small linearized fluctuations which correspond to quantum fluctuations, in a way that keeps the separation between the two manifest. We demonstra…

QC1-999hep-latFOS: Physical sciencesplasmafysiikka114 Physical sciences01 natural sciencessymbols.namesakeHigh Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)LinearizationLattice (order)0103 physical sciencesGauge theory010306 general physicsQuantum fluctuationPlasmonplasmaParticle Physics - PhenomenologyDebyePhysicsta114010308 nuclear & particles physicsplasma physicsPhysicsGaussHigh Energy Physics - Lattice (hep-lat)hep-phParticle Physics - LatticeoscillationHigh Energy Physics - PhenomenologyClassical mechanicsQuasiparticlesymbols
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Trajectory robust control of autonomous quadcopters based on model decoupling and disturbance estimation

2021

In this article, a systematic procedure is given for determining a robust motion control law for autonomous quadcopters, starting from an input–output linearizable model. In particular, the suggested technique can be considered as a robust feedback linearization (FL), where the nonlinear state-feedback terms, which contain the aerodynamic forces and moments and other unknown disturbances, are estimated online by means of extended state observers. Therefore, the control system is made robust against unmodelled dynamics and endogenous as well as exogenous disturbances. The desired closed-loop dynamics is obtained by means of pole assignment. To have a feasible control action, that is, the fo…

QuadcopterDisturbance (geology)Computer sciencelcsh:Electronicslcsh:TK7800-8360Motion controllcsh:QA75.5-76.95Computer Science ApplicationsSettore ING-INF/04 - AutomaticaArtificial IntelligenceControl theoryTrajectorylcsh:Electronic computers. Computer scienceFeedback linearizationdisturbance estimation extended state observers feedback linearization Quadcopter tracking controlRobust controlSoftwareDecoupling (electronics)International Journal of Advanced Robotic Systems
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General Linearized Theory of Quantum Fluctuations around Arbitrary Limit Cycles

2017

The theory of Gaussian quantum fluctuations around classical steady states in nonlinear quantum-optical systems (also known as standard linearization) is a cornerstone for the analysis of such systems. Its simplicity, together with its accuracy far from critical points or situations where the nonlinearity reaches the strong coupling regime, has turned it into a widespread technique, which is the first method of choice in most works on the subject. However, such a technique finds strong practical and conceptual complications when one tries to apply it to situations in which the classical long-time solution is time dependent, a most prominent example being spontaneous limit-cycle formation. H…

Quantum PhysicsVan der Pol oscillatorGaussianFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciencesSymmetry (physics)Òptica quàntica010305 fluids & plasmasNonlinear systemsymbols.namesakeLinearizationQuantum mechanics0103 physical sciencessymbolsSymmetry breakingStatistical physicsLimit (mathematics)Quantum Physics (quant-ph)010306 general physicsQuantum fluctuationMathematicsPhysical Review Letters
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Management of uncertain pairwise comparisons in AHP through probabilistic concepts

2019

Abstract Fast and judicious decision-making is paramount for the success of many activities and processes. However, various degrees of difficulty may affect the achievement of effective and optimal solutions. Decisions should ideally meet the best trade-off among as many of the involved factors as possible, especially in the case of complex problems. Substantial cognitive and technical skills are indispensable, while not always sufficient, to carry out optimal evaluations. One of the most common causes of wrong decisions derives from uncertainty and vagueness in making forecasts or attributing judgments. The literature shows numerous efforts towards the optimization and modeling of uncertai…

Scheme (programming language)0209 industrial biotechnologyIndustrial managementOperations researchComputer scienceProbabilistic logicUncertaintyAnalytic hierarchy processVagueness02 engineering and technology020901 industrial engineering & automationProbability theoryLinearizationIndustrial managementSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPairwise comparisonMATEMATICA APLICADARandom variablecomputerDecision makingSoftwarecomputer.programming_languageProbability
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Non-linear Correlation Coefficients for pushover analysis

2013

Aiming to put forward an improvement on Multimodal Pushover Analysis, a modified version of the modal correlation rule that takes into account the non-linear behavior of structures is proposed. The modification is primarily based on using the correlation coefficients consistent with the mechanical and dynamical properties of the hysteretic oscillators utilized in the MPA method, i.e. determined taking into account the second order statistics pertinent to the non-linear oscillators. Initially, the new correlation coefficients are evaluated by Monte Carlo Simulations (MCS), assuming a spectrum-compatible representation of the seismic input. The results of a large numerical parametric analysis…

Settore ICAR/09 - Tecnica Delle Costruzionimodal pushovercorrelation coefficientscorrelation coefficients; modal pushover; hysteretic behaviour; stochastic linearization.hysteretic behaviourstochastic linearizationcorrelation coefficients modal pushover hysteretic behaviour stochastic linearization
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Adaptive Feedback Linearization Control of SynRM Drives With On-Line Inductance Estimation

2023

This article proposes an adaptive input-output Feedback Linearization Control ( FLC ) techniques for Synchronous Reluctance Motor ( SynRM ) drives, taking into consideration the iron losses. As a main original content, this work proposes a control law based on a new dynamic model of the SynRM including iron losses as well as the on-line estimation of the static inductances. The on-line estimation of the SynRM static inductances permits to inherently take into consideration the magnetic saturation phenomena occuring on both axes. As a major result, it permits a null stator current steady state tracking error even with a proportional derivative controller. The estimation law is obtained thank…

Settore ING-INF/04 - AutomaticaControl and Systems EngineeringAdaptive system feedback linearization control FLC inductances estimation synchronous reluctance motor SynRMElectrical and Electronic EngineeringIndustrial and Manufacturing EngineeringIEEE Transactions on Industry Applications
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Probabilistic response of linear structures equipped with nonlinear dampers devices (PIS method)

2008

Passive control introducing energy absorbing devices into the structure has received considerable attention in recent years. Unfortunately the constitutive law of viscous fluid dampers is highly nonlinear, and even supposing that the structure behaves linearly, the whole system has inherent nonlinear properties. Usually the analysis is performed by a stochastic linearization technique (SLT) determining a linear system equivalent to the nonlinear one, in a statistical sense. In this paper the effect of the non-Gaussianity of the response due to the inherent nonlinearity of the damper device will be studied in detail via the Path Integral Solution (PIS) method. A systematic study is conducted…

Short-time Gaussian approximationStochastic linearization techniqueViscous damperNonlinear systemSettore ICAR/08 - Scienza Delle CostruzioniPath integral solution
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Use of functionals in linearization and composite estimation with application to two-sample survey data

2009

An important problem associated with two-sample surveys is the estimation of nonlinear functions of finite population totals such as ratios, correlation coefficients or measures of income inequality. Computation and estimation of the variance of such complex statistics are made more difficult by the existence of overlapping units. In one-sample surveys, the linearization method based on the influence function approach is a powerful tool for variance estimation. We introduce a two-sample linearization technique that can be viewed as a generalization of the one-sample influence function approach. Our technique is based on expressing the parameters of interest as multivariate functionals of fi…

Statistics and ProbabilityAnalysis of covarianceeducation.field_of_studyOptimal estimationApplied MathematicsGeneral MathematicsPopulationEstimatorVariance (accounting)Agricultural and Biological Sciences (miscellaneous)One-way analysis of varianceDelta methodLinearizationStatisticsApplied mathematicsStatistics Probability and UncertaintyGeneral Agricultural and Biological ScienceseducationB- ECONOMIE ET FINANCEMathematicsBiometrika
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