Search results for " optimization."

showing 10 items of 2333 documents

Evaluation of pulsed electric field-assisted extraction on the microstructure and recovery of nutrients and bioactive compounds from mushroom (Agaric…

2022

Pulsed electric field (PEF) is a sustainable innovative technology that allows for the recovery of nutrients and bioactive compounds from vegetable matrices. A. bisporus was chosen for its nutritional value and the effect of PEF pretreatment was evaluated using different conditions of electric field (2–3 kV/cm), specific energy (50–200 kJ/kg) and extraction time (0–6 h) to obtain the best conditions for nutrient and bioactive compound extraction. Spectrophotometric methods were used to evaluate the different compounds, along with an analysis of mineral content by inductively coupled plasma mass spectrometry (ICP-MS) and the surface was evaluated using scanning electron microscopy (SEM). In …

OptimizationMushroomsFiltration and SeparationTecnologia dels alimentsAgaricus bisporusBoletsAliments enriquitspulsed electric field; bioactive compounds; optimization; mushrooms; <i>Agaricus bisporus</i>Pulsed electric fieldBioactive compoundsAnalytical Chemistry
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Multiphysics Optimization for First Wall Design Enhancement in Water-Cooled Breeding Blankets

2021

Abstract The commercial feasibility of the first fusion power plant generation adopting D-T plasma is strongly dependent upon the self-sustainability in terms of tritium fuelling. Within such a kind of reactor, the component selected to house the tritium breeding reactions is the breeding blanket, which is further assigned to heat power removal and radiation shielding functions. As a consequence of both its role and position, the breeding blanket is heavily exposed to both surface and volumetric heat loads and, hence, its design requires a typical multiphysics approach, from the neutronics to the thermo-mechanics. During last years, a great deal of effort has been put in the optimization of…

OptimizationNuclear and High Energy PhysicsNeutron transportBreeding blanket Complex method Multiphysics Neutronics Optimization ThermomechanicsComputer scienceMaterials Science (miscellaneous)Water cooledMultiphysicsNuclear engineeringMultiphysicsTK9001-9401Structural integrityMaximizationBlanketFusion powerComplex methodThermomechanicsNuclear Energy and EngineeringComponent (UML)NeutronicsNuclear engineering. Atomic powerBreeding blanketSettore ING-IND/19 - Impianti Nucleari
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Optimal design of an electro-hydraulic valve for heavy-duty vehicle clutch actuator with certain constraints

2016

Abstract The main objective of this paper is to investigate the sensitivity analysis and optimal design of a proportional solenoid valve (PSV) operated pressure reducing valve (PRV) for heavy-duty automatic transmission clutch actuators. The nonlinear electro-hydraulic valve model is developed based on fluid dynamics. In order to implement the sensitivity analysis and optimization for the PRV, the PSV model is validated by comparing the results with data obtained from a real test-bench. The sensitivity of the PSV pressure response with regard to the structural parameters is investigated by using Sobol׳s method. Finally, simulations and experimental investigations are performed on the optimi…

OptimizationOptimal design0209 industrial biotechnologyEngineeringAerospace Engineering02 engineering and technologyPressure regulatorClutch actuatorClutch controllaw.invention020901 industrial engineering & automationPressure reducing valve0203 mechanical engineeringlawControl theorySolenoid valveClutchSensitivity (control systems)Civil and Structural EngineeringAutomatic transmissionbusiness.industryMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020302 automobile design & engineeringComputer Science ApplicationsAutomatic transmission; Clutch actuator; Optimization; Pressure reducing valve; Sensitivity analysis; Control and Systems Engineering; Signal Processing; Civil and Structural Engineering; Aerospace Engineering; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionControl and Systems EngineeringAutomatic transmissionSignal ProcessingSensitivity analysisbusinessActuatorMechanical Systems and Signal Processing
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Multi-Objective Optimization of Urban Microgrid Energy Supply According to Economic and Environmental Criteria

2019

This study is focused on the optimization of the annual cost and greenhouse impact related to the supply of natural gas and electricity of an urban microgrid through the installation of components as renewable energy sources, energy storage units and converters. As input parameters of the optimization model, the energy demand of a medium density urban district was estimated, while average costs and emissions of equipment were collected in market reports and literature. The outputs of the model are the optimal size and the schedule of each component. Moreover, optimization analysis was carried out for two different scenarios, comparing Italian and Vietnamese energy system cost and environmen…

OptimizationSchedule020209 energyGreenhouse02 engineering and technologyMulti-objective optimizationEnergy storageMathematical model0202 electrical engineering electronic engineering information engineeringEnergy supplyMicrogridsCogenerationSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryNatural gasEnvironmental economics021001 nanoscience & nanotechnologyRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnvironmental scienceElectricityMicrogridResistance heatingCooling0210 nano-technologybusiness2019 IEEE Milan PowerTech
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Optimization of net power density in Reverse Electrodialysis

2019

Abstract Reverse Electrodialysis (RED) extracts electrical energy from the salinity difference between two solutions using selective ion exchange membranes. In RED, conditions yielding a large net power density (NPD) are generally desired, due to the still large cost of the membranes. NPD depends on a large number of physical and geometric parameters. Some of these, for example the inlet concentrations of concentrate and diluate, can be regarded as “scenario” variables, imposed by external constraints (e.g., availability) or chosen by different criteria than NPD maximization. Others, namely the thicknesses HCONC, HDIL and the velocities UCONC, UDIL in the concentrate and diluate channels, c…

OptimizationSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciMathematical optimization020209 energy02 engineering and technologyIndustrial and Manufacturing Engineering020401 chemical engineeringStack (abstract data type)Reversed electrodialysisReverse electrodialysi0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringPower densityMathematicsGradient ascentOptimization algorithmMechanical EngineeringElectric potential energySalinity gradientBuilding and ConstructionMaximizationNet (mathematics)PollutionNet power densityGeneral EnergyIon-exchange membranesEnergy
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Comparison of Numerical Methods in the Contrast Imaging Problem in NMR

2013

International audience; In this article, the contrast imaging problem in nuclear magnetic resonance is modeled as a Mayer problem in optimal control. A first synthesis of locally optimal solutions is given in the single-input case using geometric methods based on Pontryagin's maximum principle. We then compare these results using direct methods and a moment-based approach, and make a first step towards global optimality. Finally, some preliminary results are given in the bi-input case.

Optimization[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimization010103 numerical & computational mathematics02 engineering and technologyContrast imaging01 natural sciencesNuclear magnetic resonanceMagnetic resonance imaging020901 industrial engineering & automationSoftwareMaximum principleApplied mathematics0101 mathematicsGeometric programmingMathematicsbusiness.industryNumerical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]VectorsOptimal controlOptimal controlCalcul parallèle distribué et partagéMoment (mathematics)Direct methods[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]businessSoftware
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Correlation, hierarchies, and networks in financial markets

2010

We discuss some methods to quantitatively investigate the properties of correlation matrices. Correlation matrices play an important role in portfolio optimization and in several other quantitative descriptions of asset price dynamics in financial markets. Specifically, we discuss how to define and obtain hierarchical trees, correlation based trees and networks from a correlation matrix. The hierarchical clustering and other procedures performed on the correlation matrix to detect statistically reliable aspects of the correlation matrix are seen as filtering procedures of the correlation matrix. We also discuss a method to associate a hierarchically nested factor model to a hierarchical tre…

Organizational Behavior and Human Resource ManagementEconomics and EconometricsPhysics - Physics and SocietyCorrelation based networkKullback–Leibler divergenceStability (learning theory)FOS: Physical sciencesKullback–Leibler distancePhysics and Society (physics.soc-ph)computer.software_genreHierarchical clusteringFOS: Economics and businessCorrelationMultivariate analysis Hierarchical clustering Correlation based networks Bootstrap validation Factor models Kullback–Leibler distancePortfolio Management (q-fin.PM)Bootstrap validationQuantitative Finance - Portfolio ManagementMathematicsFactor analysisStatistical Finance (q-fin.ST)Covariance matrixMultivariate analysiQuantitative Finance - Statistical FinanceHierarchical clusteringFactor modelTree (data structure)Physics - Data Analysis Statistics and ProbabilityData miningPortfolio optimizationcomputerData Analysis Statistics and Probability (physics.data-an)
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Static output-feedback controller design for vehicle suspensions: an effective two-step computational approach

2014

In this study, a novel two-step methodology is applied in designing static output-feedback controllers for a class of vehicle suspension systems. Following this approach, an effective synthesis of static output-feedback controllers can be carried out by solving two consecutive linear matrix inequality optimisation problems. To illustrate the main features of the proposed design strategy, two different static output-feedback H 8 controllers are designed for a quarter-car suspension system. The first of those controllers uses the suspension deflection and the sprung mass velocity as feedback information, whereas the second one only requires the sprung mass velocity to compute the control acti…

Output feedbackEngineeringFrequency responseControl and Optimization:Informàtica::Automàtica i control [Àrees temàtiques de la UPC]Linear matrix inequalitiesVehicle suspensionsDesign strategyControl and Systems Engineering; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Optimization; Electrical and Electronic EngineeringFeedback control systemsMatrius (Matemàtica)Vehicles -- Ressorts i suspensió:93 Systems Theory; Control [Classificació AMS]Control theoryDeflection (engineering)ControlElectrical and Electronic EngineeringMatrix inequalitiesSuspension (vehicle)Controller design:93 Systems Theory [Classificació AMS]Vehicles--Springs and suspensionbusiness.industryLinear matrix inequality:Matemàtiques i estadística [Àrees temàtiques de la UPC]Control engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionVehicles -- Springs and suspensionComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringSistemes de control per retroaccióSprung massbusinessStatic output-feedback control
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New results on H∞ dynamic output feedback control for Markovian jump systems with time-varying delay and defective mode information

2013

SUMMARY This paper investigates the problem of delay-dependent H∞ dynamic output feedback control for a class of discrete-time Markovian jump linear systems (MJLSs). The systems under consideration are subject to time-varying delay and defective mode information. The defective transition probabilities comprise of three types: exactly known, uncertain, and unknown. By employing a two-term approximation for the time-varying delay, the original MJLSs can be equivalently converted into a feedback interconnection form, which contains a forward subsystem with constant time-delays and a feedback one with norm-bounded uncertainties. Then, based on the scaled small-gain theorem, the problem is there…

Output feedbackInterconnectionControl and OptimizationControl and Systems EngineeringLinearizationControl theoryApplied MathematicsFace (geometry)Control (management)Mode (statistics)Constant (mathematics)SoftwareMathematicsOptimal Control Applications and Methods
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2014

This paper is concerned with the problem of general output feedback stabilization for fractional order linear time-invariant (FO-LTI) systems with the fractional commensurate order0&lt;α&lt;2. The objective is to design suitable output feedback controllers that guarantee the stability of the resulting closed-loop systems. Based on the slack variable method and our previous stability criteria, some new results in the form of linear matrix inequality (LMI) are developed to the static and dynamic output feedback controllers synthesis for the FO-LTI system with0&lt;α&lt;1. Furthermore, the results are extended to stabilize the FO-LTI systems with1≤α&lt;2. Finally, robust output feedback control…

Output feedbackMathematical optimizationControl theoryApplied MathematicsControl (management)Linear matrix inequalityOrder (ring theory)Nonlinear controlDesign methodsStability (probability)AnalysisSlack variableMathematicsAbstract and Applied Analysis
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