Search results for " Minimization"

showing 10 items of 107 documents

Comparison of three control drive systems for interior permanent magnet synchronous motors

2017

In a previous paper, we proposed a control strategy for interior permanent synchronous motors, which takes into account also the reduction of the motor power losses. The novelty of the suggested approach is that it takes into consideration the variations of all the motor parameters that have an influence on its efficiency. In order to verifyon the field the effectiveness of this new method, we implemented the proposed loss model algorithm in a control drive system and compared its performances, in terms of energy losses with respect to other conventional techniques.

Settore ING-IND/31 - ElettrotecnicaSpeed control drive systemsInterior permanent magnet synchronous motorSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSettore ING-INF/07 - Misure Elettriche E ElettronichePower loss minimization
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Dynamical attractors of memristors and their networks

2018

It is shown that the time-averaged dynamics of memristors and their networks periodically driven by alternating-polarity pulses may converge to fixed-point attractors. Starting with a general memristive system model, we derive basic equations describing the fixed-point attractors and investigate attractors in the dynamics of ideal, threshold-type and second-order memristors, and memristive networks. A memristor potential function is introduced, and it is shown that in some cases the attractor identification problem can be mapped to the problem of potential function minimization. Importantly, the fixed-point attractors may only exist if the function describing the internal state dynamics dep…

State variableIdeal (set theory)Condensed Matter - Mesoscale and Nanoscale PhysicsComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyFunction minimizationMemristorFunction (mathematics)State (functional analysis)Nonlinear Sciences - Chaotic DynamicsTopologyNonlinear Sciences - Adaptation and Self-Organizing Systemslaw.inventionParameter identification problemComputer Science::Emerging TechnologieslawMesoscale and Nanoscale Physics (cond-mat.mes-hall)AttractorChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)EPL (Europhysics Letters)
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A penalized approach to covariate selection through quantile regression coefficient models

2019

The coefficients of a quantile regression model are one-to-one functions of the order of the quantile. In standard quantile regression (QR), different quantiles are estimated one at a time. Another possibility is to model the coefficient functions parametrically, an approach that is referred to as quantile regression coefficients modeling (QRCM). Compared with standard QR, the QRCM approach facilitates estimation, inference and interpretation of the results, and generates more efficient estimators. We designed a penalized method that can address the selection of covariates in this particular modelling framework. Unlike standard penalized quantile regression estimators, in which model selec…

Statistics and Probability05 social sciencesQuantile regression model01 natural sciencesQuantile regressionInspiratory capacity010104 statistics & probabilitypenalized quantile regression coefficients modelling (QRCM p )Lasso penalty0502 economics and businessCovariateStatisticsPenalized integrated loss minimization (PILM)tuning parameter selection0101 mathematicsStatistics Probability and UncertaintySelection (genetic algorithm)050205 econometrics MathematicsQuantile
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Characterization of the parameters of interior permanent magnet synchronous motors for a loss model algorithm

2017

Abstract The paper provides the results of a detailed experimental study on the variations of the characteristics of an interior permanent magnet synchronous motor, when load, speed and/or magnetization conditions vary. In particular, the characterization is carried out by assessing, for several working conditions, the motor parameters that influence its efficiency. From the knowledge of the variability of these parameters, it is possible to develop a dynamic model of the motor, which accurately describes its behaviour and allows estimating the power losses for whatever speed and load. In order to validate the model, the values of the power losses obtained by using the model are compared wi…

Statistics and ProbabilityEngineering3304020209 energyCondensed Matter Physic02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciControl theoryComponent (UML)0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringInstrumentationPermanent magnet synchronous motorInterior permanent magnet synchronous motorSpeed control drive systembusiness.industryApplied Mathematics020208 electrical & electronic engineeringInterior permanent magnet synchronous motors; Power loss minimization; Speed control drive systems; Statistics and Probability; 3304; Condensed Matter Physics; Applied MathematicsCondensed Matter PhysicsPower loss minimizationCharacterization (materials science)Power (physics)Settore ING-IND/31 - ElettrotecnicaMotor efficiencySynchronous motorbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheAlgorithmMeasurement
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A comment on “The growth of cognition: Free energy minimization and the embryogenesis of cortical computation”

2021

Theoretical computer scienceArtificial IntelligenceComputer scienceComputationGeneral Physics and AstronomyCognitionGeneral Agricultural and Biological SciencesEnergy minimizationPhysics of Life Reviews
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Quantum versus Probabilistic One-Way Finite Automata with Counter

2001

The paper adds the one-counter one-way finite automaton [6] to the list of classical computing devices having quantum counterparts more powerful in some cases. Specifically, two languages are considered, the first is not recognizable by deterministic one-counter one-way finite automata, the second is not recognizable with bounded error by probabilistic one-counter one-way finite automata, but each recognizable with bounded error by a quantum one-counter one-way finite automaton. This result contrasts the case of one-way finite automata without counter, where it is known [5] that the quantum device is actually less powerful than its classical counterpart.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordComputer scienceTimed automatonBüchi automatonω-automatonNondeterministic finite automaton with ε-movesTuring machinesymbols.namesakeDFA minimizationDeterministic automatonContinuous spatial automatonQuantum finite automataDeterministic system (philosophy)Two-way deterministic finite automatonNondeterministic finite automatonDiscrete mathematicsFinite-state machineQuantum dot cellular automatonNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonProbabilistic automatonsymbolsAutomata theoryComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Local automata and completion

1993

The problem of completing a finite automata preserving its properties is here investigated in the case of deterministic local automata. We show a decision procedure and give an algorithm which complete a deterministic local automaton (if the completion exists) with another one, having the same number of states.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordTheoretical computer scienceComputer scienceTimed automatonω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonDFA minimizationAutomata theoryQuantum finite automataNondeterministic finite automatonComputer Science::Formal Languages and Automata Theory
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A theoretical determination of the electronic spectrum of formaldehyde

1995

The electronically excited states of formaldehyde are examined by means of multiconfigurational second-order perturbation (CASPT2) theory with extended ANO-type basis sets. The calculations comprised five valence excited states plus all singlet 3s, 3p, and 3d members of the Rydberg series converging on the first ionization. The computed vertical excitation energies were found to be within 0.2 eV of the available experimental energies. Full geometry optimization has been performed for five valence excited states. Assuming a planar geometry, the “0-0” transition for the valence1A1(π → π*) state is calculated to appear near 7.9 eV, close to the (n y → 3p) region. This state is, however, not pl…

Valence (chemistry)ChemistryEnergy minimizationsymbols.namesakeExcited stateIonizationRydberg formulasymbolsChiropracticsSinglet statePhysical and Theoretical ChemistryAtomic physicsAdiabatic processExcitationTheoretica Chimica Acta
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Riemannian metric of the averaged energy minimization problem in orbital transfer with low thrust

2007

Abstract This article deals with the optimal transfer of a satellite between Keplerian orbits using low propulsion and is based on preliminary results of Epenoy et al. (1997) where the optimal trajectories of the energy minimization problem are approximated using averaging techniques. The averaged Hamiltonian system is explicitly computed. It is related to a Riemannian problem whose distance is an approximation of the value function. The extremal curves are analyzed, proving that the system remains integrable in the coplanar case. It is also checked that the metric associated with coplanar transfers towards a circular orbit is flat. Smoothness of small Riemannian spheres ensures global opti…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyIntegrable system02 engineering and technologyEnergy minimization01 natural sciencesHamiltonian systemsymbols.namesake020901 industrial engineering & automationBellman equationCircular orbit0101 mathematicsMathematical PhysicsComputingMilieux_MISCELLANEOUSMathematicsApplied Mathematics010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]symbolsSPHERESAstrophysics::Earth and Planetary Astrophysics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Orbital maneuverHamiltonian (quantum mechanics)Analysis
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Optimality results in orbit transfer

2007

Abstract The objective of this Note is to present optimality results in orbital transfer. Averaging of the energy minimization problem is considered, and properties of the associated Riemannian metric are discussed. To cite this article: B. Bonnard, J.-B. Caillau, C. R. Acad. Sci. Paris, Ser. I 345 (2007).

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimization010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyGeneral MedicineEnergy minimization01 natural sciencesD optimalityTransfer (group theory)020901 industrial engineering & automationMetric (mathematics)Applied mathematics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsOrbital maneuverOrbit (control theory)ComputingMilieux_MISCELLANEOUSMathematicsComptes Rendus Mathematique
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