Search results for " OPTIMA"

showing 10 items of 220 documents

Pois protéagineux : cheminement de la recherche génétique pour la sélection des paramètres à prendre en compte pour l’amélioration de la stabilité du…

2013

Field Pea: development of genetic research for the selection of parameters to take into account to improve yield stability. Legumes were essential in rotations in the past, but they fell off during the 20th century. Maybe they will come back into favour in the 21st century thanks to its economy, agri-environment and food assets. Field Pea is the main crop of this family in France, but it remains underdeveloped because its unstable yield does not enable the farmers to ensure their income security. Therefore researchers should focus on yield stability. Modelling Pea remains difficult because of its indeterminate development. Parameters to take into account are many and their significance must…

[SDE] Environmental Sciencesrootsagroecologyphenotypeélaboration d'idéotypelegumesgenotype[SDV]Life Sciences [q-bio]Genopearesistanceyield stabilitynutrition azotée optimaletolérance au stress hydriqueAphanomyces euteichesphénotypage[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologygeneticsPisum sativumstress tolerancevarietal selectionfabaceaesymbiosisideotype[SDV] Life Sciences [q-bio]acquisition of nitrogen[SDE]Environmental Sciencesstabilité rendementfield peatolérance au froidpois protéagineuxnodulesRhizobium
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Observateur et contrôle optimal : améliorer l'efficacité de la conduite automobile avec Kalman et Pontryagin

2010

The PhD presents a combined approach to improving individual car efficiency. An optimal observer, the Extended Kalman Filter, is used to create an efficiency model for the car. Particular attention was paid to handling the asynchronous and redundant nature of the measurement data. A low-cost sensor suite developed to measure data is described. This sensor suite was installed on multiple vehicles to good success. It employsan accelerometer, gps, fuel injector timer, and Vss input to measure all the data necessary to reconstruct the car's state. This observer and sensor suite can be used as the base for any study which requires car efficiency maps, allowing research to proceed without manufac…

[SPI.OTHER]Engineering Sciences [physics]/OtherFiltrage optimal[ SPI.OTHER ] Engineering Sciences [physics]/Other[SPI.OTHER] Engineering Sciences [physics]/Other[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Efficacité d'un moteur[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Optimal filteringPrincipe du maximum de PontryaginObserverOptimal controlObservateur non linéaire[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Nonlinear observerFiltre de Kalman étenduPontryagin maximum principleObservateurContrôle optimalMotor efficiencyExtended Kalman fillter
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Optimal control and applications to orbital transfer and almost-riemannian geometry

2010

In this thesis we focus on optimal control techniques as well as geometric control techniques applied to the orbital transfer problem and to almost-Riemannian geometry. In these cases, Pontryagin’s Maximum Principle allows to analyse the extremal flow of affine control systems.In the case of a satellite with low-thrust propulsion, averaging techniques give an approximated system. Averaging is explicit in the energy minimization case and is directly related to almost-riemannian problems. The geometric analysis of such problems is generalized by the study of metrics on the two-sphere of revolution. In this way it is possible to classify the situations considering the transcendance of the solu…

[SPI.OTHER]Engineering Sciences [physics]/OtherMéthode de tirHomotopieLieux de coupure et de conjugaison[ SPI.OTHER ] Engineering Sciences [physics]/Other[SPI.OTHER] Engineering Sciences [physics]/Other[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Géométrie presque-riemannienneMoyennation[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Transfert orbitalProblèmes riemanniens en deux dimensions[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Contrôle optimalNo english keywordsLanceurs
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Geometric optimal control : homotopic methods and applications

2012

This work is about geometric optimal control applied to celestial and quantum mechanics. We first dealt with the minimum fuel consumption problem of transfering a satellite around the Earth. This brought to the creation of the code HamPath which permits first of all to solve optimal control problem for which the command law is smooth. It is based on the Pontryagin Maximum Principle (PMP) and on the notion of conjugate point. This program combines shooting method, differential homotopic methods and tools to compute second order optimality conditions. Then we are interested in quantum control. We study first a system which consists in two different particles of spin 1/2 having two different r…

[SPI.OTHER]Engineering Sciences [physics]/OtherMéthodes de tirHomotopie différentielle[ SPI.OTHER ] Engineering Sciences [physics]/OtherOrbital transferContrôle optimal géométrique[SPI.OTHER] Engineering Sciences [physics]/Other[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Shooting methodsDifferential homotopyAutomatic differentiationContraste en RMNQuantum control[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Geometric optimal controlConditions du deuxième ordreTransfert orbitalLieux conjugués et de coupureDifférenciation automatiqueSecond order conditions[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Cut and conjugate lociContrast imaging in NMRContrôle quantique
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Collision Avoidance Trajectory for an Ekranoplan.

2009

The risk of collision is one of the crucial aspects for the applications of Ekranoplans in civil transportation. In fact, the extremely low flight altitude of these aircraft increases dramatically the chances of interference between their flight path and the multitude of obstacles populating the surrounding area. In this work we consider the optimal collision avoidance problem between a cruising Ekranoplan and a steady obstacle located on its flight path. First we solve the optimal control problem imposing that the collision avoidance maneuver lies on the longitudinal plane identified by the initial cruising conditions. In the second part of this work we state the three-dimensional version …

business.industryWork (physics)Settore ING-IND/03 - Meccanica Del VoloOptimal controlInterference (wave propagation)CollisionComputer Science::RoboticsGeographyObstacleObstacle avoidanceCollision Avoidance Optimal Trajctory EkranoplanTrajectoryAerospace engineeringbusinessCollision avoidance
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Role of biomarkers in monitoring antiblastic cardiotoxicity

2016

Early detection of anticancer drug-induced cardiotoxicity (CTX) has been evaluated by most international scientific cardiology and oncology societies. High expectations have been placed on the use of specific biomarkers. In recent years, conventional biomarkers and molecules of more recent interest have been tested and compared in the context of anticancer drug-related CTX. Encouraging results were obtained from studies on molecules of myocardial damage, such as troponin and markers of myocardial wall stress, including circulating natriuretic peptides, as well as from the assessment of the products of inflammation or circulating levels of free radicals. However, clear guidelines on their se…

cardiac toxicitymedicine.medical_specialtyantiblasticantineoplasticEarly detectionContext (language use)Antineoplastic Agentsantiblastic; anticancer drugs; antineoplastic; biomarkers; brain natriuretic peptide; cardiac toxicity; troponin; Cardiology and Cardiovascular Medicine030204 cardiovascular system & hematologyBioinformaticsbrain natriuretic peptideSensitivity and Specificity03 medical and health sciencesWall stress0302 clinical medicineCardiac toxicityNeoplasmsNatriuretic Peptide BrainmedicineHumansanticancer drugIntensive care medicineantineoplastic antiblastic anticancer drugs biomarkers brain natriuretic peptide cardiac toxicity troponinMonitoring PhysiologicCardiotoxicitybusiness.industrytroponinbiomarkersGeneral MedicineTime optimalCardiotoxicityanticancer drugsEarly DiagnosisCardiovascular Diseases030220 oncology & carcinogenesisbiomarkerbusinessCardiology and Cardiovascular Medicine
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Second order optimality conditions with applications

2007

International audience; The aim of this article is to present the algorithm to compute the first conjugate point along a smooth extremal curve. Under generic assump- tions, the tra jectory ceases to be optimal at such a point. An implementation of this algorithm, called cotcot, is available online and based on recent devel- opments in geometric optimal control. It is applied to analyze the averaged optimal transfer of a satellite between elliptic orbits.

conjugate points[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]time optimal control49K15 70Q05Orbital transfer[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Riemannian systems with drift
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Second order optimality conditions in optimal control with applications

2006

The aim of this article is to present the algorithm to compute the first conjugate point along a smooth extremal curve. Under generic assumptions, the trajectory ceases to be optimal at such a point. An implementation of this algorithm, called \texttt{cotcot}, is available online and based on recent developments in geometric optimal control. It is applied to analyze the averaged optimal transfer of a satellite between elliptic orbits.

conjugate points[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]time optimal control49K15 70Q05orbital transfer[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Riemannian systems with drift
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Disease dispersion as a spatial interaction: The case of Flavescence Dorée

2020

International audience; Flavescence dorée is a serious and incurable vine disease transmitted by an insect vector. Focusing on its spatial diffusion and on its control with pesticides, this paper investigates the private strategies of wine producers and their socially optimal counterparts. The socially optimal regulation has to address two externalities regarding private treatment decisions: (a) the insufficient consideration of collective benefits from controlling the vector populations; (b) the failure to take into account environmental damage related to pesticide application. The probability of infection is estimated on French data from a spatial econometric specification. Three alternat…

cost‐benefit analysisMandatory treatmentJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q1 - Agriculture/Q.Q1.Q12 - Micro Analysis of Farm Firms Farm Households and Farm Input MarketsCompulsory treatmentEnvironmental Science (miscellaneous)environmental externalityAnalyse cout-benefice0502 economics and businessEconometricsStatistical dispersion050207 economicsExternalité environnementaleMathematicsGestion des nuisibles2. Zero hungercompulsory treatmentJEL: H - Public Economics/H.H2 - Taxation Subsidies and Revenue/H.H2.H21 - Efficiency • Optimal Taxation[QFIN]Quantitative Finance [q-fin]Spatial interactioncost-benefit analysis05 social sciencesTraitement obliatoire[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial spilloverspest management13. Climate actionModeling and SimulationFlavescence doréeJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q51 - Valuation of Environmental Effects050202 agricultural economics & policy
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A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
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