Search results for "Control and Optimization"

showing 10 items of 448 documents

Energy harvesting by waste acid/base neutralization via bipolar membrane reverse electrodialysis

2020

Bipolar Membrane Reverse Electrodialysis (BMRED) can be used to produce electricity exploiting acid-base neutralization, thus representing a valuable route in reusing waste streams. The present work investigates the performance of a lab-scale BMRED module under several operating conditions. By feeding the stack with 1 M HCl and NaOH streams, a maximum power density of ~17 W m−2 was obtained at 100 A m−2 with a 10-triplet stack with a flow velocity of 1 cm s−1, while an energy density of ~10 kWh m−3 acid could be extracted by a complete neutralization. Parasitic currents along feed and drain manifolds significantly affected the performance of the stack when equipped with a higher number of t…

Work (thermodynamics)Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciControl and OptimizationMaterials scienceEnergy Engineering and Power TechnologySalt (chemistry)02 engineering and technology010501 environmental sciencespH gradient; waste to energy; ion-exchange membrane; wastewater valorization; controlled neutralization7. Clean energy01 natural scienceslcsh:TechnologyStack (abstract data type)Reversed electrodialysisWastewater valorizationElectrical and Electronic EngineeringIon-exchange membraneEngineering (miscellaneous)pH gradient0105 earth and related environmental sciencesPower densitychemistry.chemical_classificationRenewable Energy Sustainability and the Environmentlcsh:T021001 nanoscience & nanotechnology6. Clean waterWaste to energyMembraneSettore ING-IND/23 - Chimica Fisica ApplicatachemistryFlow velocityChemical engineeringAcid–base reaction0210 nano-technologyControlled neutralizationEnergy (miscellaneous)
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Une approche géométrique du contrôle optimal de l'arc atmosphérique de la navette spatiale

2002

L'objectif de ce travail est de faire quelques remarques géométriques et des calculs préliminaires pour construire l'arc atmosphérique optimal d'une navette spatiale (problème de rentrée sur Terre ou programme d'exploration de Mars). Le système décrivant les trajectoires est de dimension 6, le contrôle est l'angle de gîte cinématique et le coût est l'intégrale du flux thermique. Par ailleurs il y a des contraintes sur l'état (flux thermique, accélération normale et pression dynamique). Notre étude est essentiellement géométrique et fondée sur une évaluation de l'ensemble des états accessibles en tenant compte des contraintes sur l'état. On esquisse une analyse des extrémales du Principe du …

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationAcceleration (differential geometry)02 engineering and technology01 natural sciences020901 industrial engineering & automationDimension (vector space)Applied mathematics49K1570Q050101 mathematicscontrôle optimal avec contraintes sur l'étatMathematicsMars sample return010102 general mathematicsprincipes du minimum[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]State (functional analysis)arc atmosphériqueMinimum principleComputational MathematicsHeat fluxControl and Systems Engineeringmécanique célesteDynamic pressure[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Sensitivity analysis for time optimal orbit transfer

2001

The minimum time transfer of a satellite around the Earth is studied. In order to deal numerically with low thrusts, a new method is introduced: Based on a so-called noncontrollability function, the technique treats the ha1 time as a parameter. The properties of the method arc studied by means of an infinite dimensional sensitivity analysis. The numerical results obtained by this approach for very low thrusts are given

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationApplied Mathematics010102 general mathematicsMinimum timeMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyFunction (mathematics)Management Science and Operations ResearchTime optimal01 natural sciencesArc (geometry)020901 industrial engineering & automationControl theoryTransfer (computing)Physics::Space PhysicsOrbit (dynamics)SatelliteSensitivity (control systems)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematics
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3D Geosynchronous Transfer of a Satellite: Continuation on the Thrust

2003

The minimum-time transfer of a satellite from a low and eccentric initial orbit toward a high geostationary orbit is considered. This study is preliminary to the analysis of similar transfer cases with more complicated performance indexes (maximization of payload, for instance). The orbital inclination of the spacecraft is taken into account (3D model), and the thrust available is assumed to be very small (e.g. 0.3 Newton for an initial mass of 1500 kg). For this reason, many revolutions are required to achieve the transfer and the problem becomes very oscillatory. In order to solve it numerically, an optimal control model is investigated and a homotopic procedure is introduced, namely cont…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationContinuous functionApplied MathematicsGeosynchronous orbit[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Thrust02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOrbital inclination020901 industrial engineering & automationShooting methodControl theory0103 physical sciencesOrbit (dynamics)Geostationary orbit[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSMathematics
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Coplanar control of a satellite around the Earth

2001

We investigate the minimum time transfer of a satellite around the Earth. Using an optimal control model, we study the controllability of the system and propose a geometrical analysis of the optimal command structure. Furthermore, in order to solve the problem numerically, a new parametric technique is introduced for which convergence properties are established.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationGeometric analysis010102 general mathematicsControl (management)Structure (category theory)[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyTopologyOptimal control01 natural sciencesControllabilityComputational Mathematics020901 industrial engineering & automationControl and Systems EngineeringConvergence (routing)Satellite[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematicsParametric statistics
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Asymptotics of accessibility sets along an abnormal trajectory

2001

We describe precisely, under generic conditions, the contact of the accessibility set at time $T$ with an abnormal direction, first for a single-input affine control system with constraint on the control, and then as an application for a sub-Riemannian system of rank 2. As a consequence we obtain in sub-Riemannian geometry a new splitting-up of the sphere near an abnormal minimizer $\gamma$ into two sectors, bordered by the first Pontryagin's cone along $\gamma$, called the $\xLinfty$-sector and the $\xLtwo$-sector. Moreover we find again necessary and sufficient conditions of optimality of an abnormal trajectory for such systems, for any optimization problem.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationOptimization problemRank (linear algebra)02 engineering and technologycontrol-affine systems01 natural sciencesSet (abstract data type)020901 industrial engineering & automationFOS: Mathematicssingular trajectories0101 mathematicsMathematics - Optimization and ControlMathematics010102 general mathematicsMathematical analysisConstraint (information theory)Computational MathematicsCone (topology)Optimization and Control (math.OC)Control and Systems EngineeringControl systemTrajectoryAffine transformation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Second order optimality conditions in the smooth case and applications in optimal control

2007

International audience; The aim of this article is to present algorithms to compute the first conjugate time along a smooth extremal curve, where the trajectory ceases to be optimal. It is based on recent theoretical developments of geometric optimal control, and the article contains a review of second order optimality conditions. The computations are related to a test of positivity of the intrinsic second order derivative or a test of singularity of the extremal flow. We derive an algorithm called COTCOT (Conditions of Order Two and COnjugate times), available on the web, and apply it to the minimal time problem of orbit transfer, and to the attitude control problem of a rigid spacecraft. …

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimizationControl and Optimization02 engineering and technology01 natural sciences020901 industrial engineering & automationJacobi fieldSingularity0101 mathematicsorbit transferMathematicsSecond derivativeJacobi fieldsecond-order intrinsic derivative010102 general mathematicsConjugate pointsattitude control49K15 49-04 70Q05[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlComputational MathematicsFlow (mathematics)Control and Systems EngineeringTrajectoryconjugate pointLagrangian singularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Orbit (control theory)
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Convergence rate of a relaxed inertial proximal algorithm for convex minimization

2018

International audience; In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial proximal algorithms that aim to solve monotone inclusions. In this paper, we specialize this study in the case of non-smooth convex minimization problems. We obtain convergence rates for values which have similarities with the results based on the Nesterov accelerated gradient method. The joint adjustment of inertia, relaxation and proximal terms plays a central role. In doing so, we highlight inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates of values in the worst case.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Class (set theory)Control and OptimizationInertial frame of referenceLyapunov analysis0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencessymbols.namesakenonsmooth convex minimizationrelaxationweak-convergence0101 mathematics[MATH]Mathematics [math]point algorithmMathematics021103 operations researchWeak convergence[QFIN]Quantitative Finance [q-fin]Applied MathematicsHilbert space[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]dynamicsmaximally monotone operatorsInertial proximal method010101 applied mathematicsMonotone polygonRate of convergenceConvex optimizationmaximal monotone-operatorssymbolsRelaxation (approximation)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]subdifferential of convex functionsAlgorithm
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Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation

2017

International audience; The goal of this paper is to show how non-parametric statistics can be used to solve some chance constrained optimization and optimal control problems. We use the Kernel Density Estimation method to approximate the probability density function of a random variable with unknown distribution , from a relatively small sample. We then show how this technique can be applied and implemented for a class of problems including the God-dard problem and the trajectory optimization of an Ariane 5-like launcher.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Mathematical optimizationControl and Optimizationchance constrained optimizationKernel density estimation0211 other engineering and technologiesProbability density function02 engineering and technology01 natural sciencesKernel Density Estimation010104 statistics & probability0101 mathematicsMathematics021103 operations researchApplied MathematicsConstrained optimizationTrajectory optimizationstochastic optimizationOptimal controlOptimal controlDistribution (mathematics)Aerospace engineeringControl and Systems EngineeringStochastic optimization[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Random variableSoftware
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Minimum Time Control of the Restricted Three-Body Problem

2012

The minimum time control of the circular restricted three-body problem is considered. Controllability is proved on an adequate submanifold. Singularities of the extremal flow are studied by means of a stratification of the switching surface. Properties of homotopy maps in optimal control are framed in a simple case. The analysis is used to perform continuations on the two parameters of the problem: The ratio of the masses, and the magnitude of the control.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Surface (mathematics)0209 industrial biotechnologyControl and OptimizationApplied MathematicsHomotopy010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyThree-body problemOptimal controlSubmanifold01 natural sciencesControllability020901 industrial engineering & automationSimple (abstract algebra)Gravitational singularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsMathematicsSIAM Journal on Control and Optimization
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