Search results for "REDUCE"

showing 10 items of 233 documents

ROTOR FLUX OPTIMAL ESTIMATION FOR INDUCTION MOTOR CONTROL

2005

Abstract The aim of this paper is to analyze and design reduced order observers of the rotor flux of induction motors. The design requirements are: a) the convergence rate of the rotor flux estimation error; b) a low sensitivity to stator and rotor resistance variations; c) a low sensitivity to errors due to the implementation of the observers on microprocessor-based systems. It is shown that, in order to satisfy the requirements a)-c), it is sufficient to solve a constrained optimization problem according to a criterion in which these requirements appear explicitly. The implementation of the observer is discussed. The observer is tested by simulation and experiments.

EngineeringObserver (quantum physics)Optimal estimationbusiness.industryRotor (electric)Statorlaw.inventionQuantitative Biology::Subcellular ProcessesSettore ING-INF/04 - AutomaticaRate of convergenceControl theorylawInduction Motors Reduced Order Observers.Rotor fluxSensitivity (control systems)businessInduction motorIFAC Proceedings Volumes
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Design and Sensitivity Analysis of a Reduced-Order Rotor Flux Optimal Observer for Induction Motor Control

2007

This paper aims to give simple and effective design criteria of rotor flux reduced-order observers for motion control systems with induction motors. While the observer is optimized for rotor and stator resistance variations, a sensitivity analysis is carried out in the presence of variations of all the motor parameters by means of either transfer function from true to observed rotor flux or simulation in a MATLAB-SIMULINK environment, assuming the voltages supplying the motor to be different from those supplying the observer. The sensitivity analysis makes it possible to establish design criteria for the observer in question. The behaviour of the proposed reduced order observer is compared …

EngineeringObserver (quantum physics)StatorRotor (electric)business.industryApplied MathematicsMotion controlTransfer functionComputer Science Applicationslaw.inventionSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theorylawReduced-order observersState observerSensitivity (control systems)Electrical and Electronic EngineeringInduction motorbusinessInduction motor
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A GRASP algorithm for the container stowage slot planning problem

2016

This work presents a generalization of the Slot Planning Problem which raises when the liner shipping industry needs to plan the placement of containers within a vessel (stowage planning). State-of-the-art stowage planning relies on a heuristic decomposition where containers are first distributed in clusters along the vessel. For each of those clusters a specific position for each container must be found. Compared to previous studies, we have introduced two new features: the explicit handling of rolled out containers and the inclusion of separations rules for dangerous cargo. We present a novel integer programming formulation and a Greedy Randomized Adaptive Search Procedure (GRASP) to solv…

EngineeringOperations researchHeuristic (computer science)Container vessel stowage planning0211 other engineering and technologiesTransportation02 engineering and technologyManagement Science and Operations ResearchSHIPSOPERATIONSNUMBERGRASP0202 electrical engineering electronic engineering information engineeringHeuristic algorithmsLOADING PROBLEMBusiness and International ManagementInteger programmingREDUCEGreedy randomized adaptive search procedureCivil and Structural EngineeringSlot planningECONOMICS021103 operations researchbusiness.industryGRASPSHIFTSInteger programmingREACTIVE GRASPENGINEERINGPACKING PROBLEMSPacking problemsContainer (abstract data type)StowageBenchmark (computing)020201 artificial intelligence & image processingbusinessSETTransportation Research Part E: Logistics and Transportation Review
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Sensorless control of PMSM by a linear neural network: TLS EXIN neuron

2010

Sensorless vector control applied to the Permanent Magnet Synchronous Motors (PMSMs) is a very challenging subject. It permits obtaining high dinamical performance by exploiting increased reliability and also reduced cost. Among the different methodologies proposed in literature, a model based approach has been proposed here. In particular, the space vector equations of the PMSM have been re-elaborated to permit the use of a Least Squares technique. The problem has been then faced-up to with the so-called TLS EXIN neuron, which is a linear neural network able to solve the TLS problem on-line. Simulation tests have been done on both interior mounted and surface mounted machines.

EngineeringVector controlPermanent magnet synchronous motorArtificial neural networkControl theorybusiness.industryReliability (computer networking)Control (management)Control engineeringSynchronous motorReduced costbusinessLeast squaresIECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
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Alignment-free Genomic Analysis via a Big Data Spark Platform

2021

Abstract Motivation Alignment-free distance and similarity functions (AF functions, for short) are a well-established alternative to pairwise and multiple sequence alignments for many genomic, metagenomic and epigenomic tasks. Due to data-intensive applications, the computation of AF functions is a Big Data problem, with the recent literature indicating that the development of fast and scalable algorithms computing AF functions is a high-priority task. Somewhat surprisingly, despite the increasing popularity of Big Data technologies in computational biology, the development of a Big Data platform for those tasks has not been pursued, possibly due to its complexity. Results We fill this impo…

FOS: Computer and information sciencesStatistics and Probabilitysequence analysisComputer science0206 medical engineeringBig data02 engineering and technologyMachine learningcomputer.software_genreBiochemistry03 medical and health sciencesSpark (mathematics)MapReduceMolecular Biology030304 developmental biology0303 health sciencesSettore INF/01 - Informaticabusiness.industryBioinformatics High Performance Computing Compressed Data StructuresMapReduce; hadoop; sequence analysisComputer Science ApplicationsComputational MathematicsTask (computing)Computer Science - Distributed Parallel and Cluster ComputingComputational Theory and MathematicsDistributed Parallel and Cluster Computing (cs.DC)Artificial intelligencehadoopbusinesscomputer020602 bioinformaticsBioinformatics
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Fast Estimation of Diffusion Tensors under Rician noise by the EM algorithm

2016

Diffusion tensor imaging (DTI) is widely used to characterize, in vivo, the white matter of the central nerve system (CNS). This biological tissue contains much anatomic, structural and orientational information of fibers in human brain. Spectral data from the displacement distribution of water molecules located in the brain tissue are collected by a magnetic resonance scanner and acquired in the Fourier domain. After the Fourier inversion, the noise distribution is Gaussian in both real and imaginary parts and, as a consequence, the recorded magnitude data are corrupted by Rician noise. Statistical estimation of diffusion leads a non-linear regression problem. In this paper, we present a f…

FOS: Computer and information sciencesreduced computationGaussianModels NeurologicalDatasets as Topicta3112Statistics - ComputationStatistics - ApplicationsTime030218 nuclear medicine & medical imagingMethodology (stat.ME)Diffusion03 medical and health sciencessymbols.namesake0302 clinical medicineScoring algorithmRician fadingPrior probabilityExpectation–maximization algorithmImage Processing Computer-AssistedMaximum a posteriori estimationHumansApplications (stat.AP)Computer SimulationComputation (stat.CO)Statistics - MethodologyMathematicsta112Likelihood FunctionsGeneral NeuroscienceBrainEstimatormaximum likelihood estimatorFisher scoringMagnetic Resonance ImagingWhite MatterRician likelihoodDiffusion Tensor ImagingFourier transformNonlinear Dynamicssymbolsmaximum a posteriori estimatorAlgorithmAlgorithms030217 neurology & neurosurgerydata augmentation
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Full- and reduced-order filter design for discrete-time T-S fuzzy systems with time-varying delay

2012

This paper is focused on the problem of ℋ ∞ filtering for a class of discrete-time T-S fuzzy time-varying delay systems. Our interest is how to design full- and reduced-order filters that guarantee the filtering error system to be asymptotically stable with a prescribed ℋ ∞ performance. Sufficient conditions for the obtained filtering error system are proposed by applying an input-output approach and a two-term approximation method, which is employed to approximate the time-varying delay. The corresponding full and reduced-order filter design is cast into a convex optimization problem, which can be efficiently solved by standard numerical algorithms.

Filter designDiscrete time and continuous timeControl theoryStability theoryConvex optimizationKalman filterFuzzy control systemFuzzy logicReduced orderMathematics2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
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Assessing competence: The European survey on aging protocol (ESAP)

2003

<i>Objectives:</i> The main goal of this research project was to translate and adapt the European Survey on Ageing Protocol (ESAP) to 7 European countries/cultures. This article presents preliminary results from the ESAP, the basic assessment instrument of EXCELSA (European Longitudinal Study of Aging). <i>Methods:</i> 672 individuals aged 30–85, selected through quota sampling (by age, gender, education and living conditions), participated in this study, with 96 subjects from each of the 7 European countries. The basic research protocol for assessing competence and its determinants was designed to be administered in a 90-min in-home face-to-face interview. It contai…

GerontologyAdultLongitudinal studyAgingPsychometricsmedia_common.quotation_subjectHealth StatusIntelligencePilot ProjectsStructural equation modelingSurveys and QuestionnairesPersonalityHumansInterpersonal RelationsMental CompetencyCompetence (human resources)Life Stylemedia_commonAgedAged 80 and overSuccessful agingAnthropometryAge FactorsSDG 10 - Reduced InequalitiesAnthropometryMiddle AgedExploratory factor analysisEuropeSocioeconomic FactorsPhysical Fitness/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalitiesGeriatrics and GerontologyPsychologyPsychosocialPersonalityGerontology
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Early life conditions and later life inequality in health

2013

Abstract Prenatal exposure to adverse conditions is known to affect health throughout the life span. It has also been shown that health is unevenly distributed at advanced ages. This chapter investigates whether health inequalities at old age may be partially caused by prenatal circumstances. We use a sample of people aged 71–91 from eight European countries and assess how shocks in GDP that occurred while the respondents were still in utero affect four important dimensions of later-life health: cognition, depression, functional limitations, and grip strength. We find that early-life macro-economic circumstances do not affect health at advanced ages, nor do they affect inequalities in healt…

GerontologyHealth productionInequalitybusiness.industryMortality ratemedia_common.quotation_subjectHealth and inequalityCognitionSDG 8 - Decent Work and Economic GrowthSDG 10 - Reduced InequalitiesAffect (psychology)/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthEconomics of the elderlyHealth equityEarly lifeGrip strength/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalitiesMedicinebusinessDepression (differential diagnoses)Demographymedia_commonHealth and Inequality
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Reduced mobility and physical activity as predictors of depressive symptoms among community-dwelling older adults: an eight-year follow-up study.

2003

Background and aims: Epidemiological research suggests that reduced physical activity and mobility may be associated with depressive symptoms. The present study examines the relative roles of mobility status and physical activity as predictors of depressive symptoms among community-dwelling older adults. Methods: The subjects comprised randomly selected, non-institutionalized residents of the city of Jyvaskyla, central Finland, born in 1904–1923. At baseline, 80% (N=1224) and after the 8-year follow-up period (1996) 88% (N=663) of eligible persons were interviewed. All non-institutionalized men and women (N=384) who participated in both baseline and follow-up interviews, who supplied data o…

GerontologyMaleAgingmedicine.medical_specialtyDepression scalePhysical activityWalkingMotor ActivityMobility statusEpidemiologymedicineElderly peopleHumansLife StyleDepressive symptomsAgedMovement DisordersDepressionFollow up studiesReduced mobilityPrognosisLogistic ModelsFemaleGeriatrics and GerontologyPsychologyFollow-Up StudiesAging clinical and experimental research
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